| [1] | Anqi Mao, Mehryar Mohri, and Yutao
Zhong.
A universal growth rate for learning with smooth surrogate losses. In Advances in Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada, 2024. MIT Press.
|
| [2] | Corinna Cortes, Anqi Mao,
Christopher Mohri, Mehryar Mohri, and Yutao Zhong.
Cardinality-aware set prediction and top-k classification. In Advances in Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada, 2024. MIT Press.
|
| [3] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
Realizable H-consistent and Bayes-consistent loss functions for learning to defer. In Advances in Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada, 2024. MIT Press.
|
| [4] | Anqi Mao, Mehryar Mohri, and Yutao
Zhong.
Multi-label learning with stronger consistency guarantees. In Advances in Neural Information Processing Systems (NeurIPS 2024). Vancouver, Canada, 2024. MIT Press.
|
| [5] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
Regression with multi-expert deferral. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, July 2024.
|
| [6] | Raef Bassily, Corinna
Cortes, Anqi Mao, and Mehryar Mohri.
Differentially private domain adaptation with theoretical guarantees. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, July 2024.
|
| [7] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
H-consistency guarantees for regression. In Proceedings of the 41st International Conference on Machine Learning (ICML 2024). Vienna, Austria, July 2024.
|
| [8] | Pranjal Awasthi, Corinna
Cortes, and Mehryar Mohri.
Best-effort adaptation. Annals of Mathematics and Artificial Intelligence, 92(2):393-438, 2024.
|
| [9] | Anqi Mao, Mehryar Mohri, and Yutao
Zhong.
Predictor-rejector multi-class abstention: Theoretical analysis and algorithms. In Proceedings of The 31st International Conference on Algorithmic Learning Theory (ALT 2024). volume to appear, San Diego, CA, 2024. Springer, Heidelberg, Germany.
|
| [10] | Pranjal Awasthi, Corinna
Cortes, Yishay Mansour, and Mehryar Mohri.
A theory of learning with competing objectives and user feedback. In International Symposium on Artificial Intelligence and Mathematics (ISAIM 2024). 2024.
|
| [11] | Anqi Mao, Mehryar Mohri, and Yutao
Zhong.
Principled approaches for learning to defer with multiple experts. In International Symposium on Artificial Intelligence and Mathematics (ISAIM 2024). 2024.
|
| [12] | Corinna Cortes, Giulia DeSalvo,
and Mehryar Mohri.
Theory and algorithms for learning with rejection in binary classification. Annals of Mathematics and Artificial Intelligence, 92(2):277-315, 2024.
|
| [13] | Pranjal Awasthi, Anqi Mao,
Mehryar Mohri, and Yutao Zhong.
DC-programming for neural network optimizations. Journal of Global Optimization (JOGO), Volume TBD, 2024.
|
| [14] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
Theoretically grounded loss functions and algorithms for score-based multi-class abstention. In Twenty-sixth Conference on Artificial Intelligence and Statistics (AISTATS 2024). Valencia, Spain, 2024.
|
| [15] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
Structured prediction with stronger consistency guarantees. In Advances in Neural Information Processing Systems (NeurIPS 2023). New Orleans, Louisiana, 2023. MIT Press.
|
| [16] | Anqi Mao, Christopher Mohri,
Mehryar Mohri, and Yutao Zhong.
Two-stage learning to defer with multiple experts. In Advances in Neural Information Processing Systems (NeurIPS 2023). New Orleans, Louisiana, 2023. MIT Press.
|
| [17] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
H-consistency bounds: Characterization and extensions. In Advances in Neural Information Processing Systems (NeurIPS 2023). New Orleans, Louisiana, 2023. MIT Press.
|
| [18] | Anqi Mao, Mehryar Mohri, and
Yutao Zhong.
Cross-entropy loss functions: Theoretical analysis and applications. In Proceedings of the 40th International Conference on Machine Learning (ICML 2023). Honolulu, Hawaii, July 2023.
|
| [19] | Christoph Dann, Yishay Mansour,
and Mehryar Mohri.
Reinforcement learning can be more efficient with multiple rewards. In Proceedings of the 40th International Conference on Machine Learning (ICML 2023). Honolulu, Hawaii, July 2023.
|
| [20] | Anqi Mao, Mehryar Mohri, and Yutao
Zhong.
H-consistency bounds for pairwise misranking loss surrogates. In Proceedings of the 40th International Conference on Machine Learning (ICML 2023). Honolulu, Hawaii, July 2023.
|
| [21] | Christoph Dann, Yishay Mansour,
Mehryar Mohri, Jon Schneider, and Balasubramanian Sivan.
Pseudonorm approachability and applications to regret minimization. In Proceedings of The 30th International Conference on Algorithmic Learning Theory (ALT 2023). volume to appear, Singapore, 2023. Springer, Heidelberg, Germany.
|
| [22] | Raef Bassily, Mehryar Mohri,
and Ananda Theertha Suresh.
Principled approaches for private domain adaptation from a public source. In Twenty-sixth Conference on Artificial Intelligence and Statistics (AISTATS 2023). Valencia, Spain, 2023.
|
| [23] | Pranjal Awasthi, Anqi Mao,
Mehryar Mohri, and Yutao Zhong.
Theoretically grounded loss functions and algorithms for adversarial robustness. In Twenty-sixth Conference on Artificial Intelligence and Statistics (AISTATS 2023). Valencia, Spain, 2023.
|
| [24] | Raef Bassily, Mehryar Mohri,
and Ananda Theertha Suresh.
Differentially private learning with margin guarantees. In Advances in Neural Information Processing Systems (NeurIPS 2022). New Orleans, Louisiana, 2022. MIT Press.
|
| [25] | Pranjal Awasthi, Anqi Mao,
Mehryar Mohri, and Yutao Zhong.
Multi-class H-consistency bounds. In Advances in Neural Information Processing Systems (NeurIPS 2022). New Orleans, Louisiana, 2022. MIT Press.
|
| [26] | Teodor V. Marinov, Mehryar
Mohri, and Julian Zimmert.
Stochastic online learning with feedback graphs: Finite-time and asymptotic optimality. In Advances in Neural Information Processing Systems (NeurIPS 2022). New Orleans, Louisiana, 2022. MIT Press.
|
| [27] | Yishay Mansour, Mehryar Mohri,
Jon Schneider, and Balasubramanian Sivan.
Strategizing against learners in Bayesian games. In Proceedings of The 35th Annual Conference on Learning Theory (COLT 2022). London, UK, July 2022.
|
| [28] | Pranjal Awasthi, Anqi Mao,
Mehryar Mohri, and Yutao Zhong.
H-consistency bounds for surrogate loss minimizers. In Proceedings of the 39th International Conference on Machine Learning (ICML 2022). Baltimore, MD, July 2022.
|
| [29] | Christoph Dann, Yishay
Mansour, Mehryar Mohri, Ayush Sekhari, and Karthik Sridharan.
Guarantees for epsilon-greedy reinforcement learning with function approximation. In Proceedings of the 39th International Conference on Machine Learning (ICML 2022). Baltimore, MD, July 2022.
|
| [30] | Judy Hoffman, Mehryar
Mohri, and Ningshan Zhang.
Multiple-source adaptation theory and algorithms-- addendum. Annals of Mathematics and Artificial Intelligence, 90(6):569-572, 2022.
|
| [31] | Pranjal Awasthi, Natalie S.
Frank, Anqi Mao, Mehryar Mohri, and Yutao Zhong.
Calibration and consistency of adversarial surrogate losses. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [32] | Corinna Cortes, Mehryar Mohri,
Dmitry Storcheus, and Ananda Theertha Suresh.
Boosting with multiple sources. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [33] | Sai Praneeth Karimireddy,
Martin Jaggi, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U.
Stich, and Ananda Theertha Suresh.
Breaking the centralized barrier for cross-device federated learning. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [34] | Christoph Dann, Yishay
Mansour, Mehryar Mohri, Ayush Sekhari, and Karthik Sridharan.
Agnostic reinforcement learning with low-rank MDPs and rich observations. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [35] | Pranjal Awasthi,
Natalie S. Frank, and Mehryar Mohri.
On the existence of the adversarial Bayes classifier. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [36] | Christoph Dann, Teodor V.
Marinov, Mehryar Mohri, and Julian Zimmert.
Beyond value-function gaps: Improved instance-dependent regret bounds for episodic reinforcement learning. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [37] | Daniel Levy, Ziteng Sun, Kareem
Amin, Satyen Kale, Alex Kulesza, Mehryar Mohri, and Ananda Theertha Suresh.
Learning with user-level privacy. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [38] | Christoph Dann, Mehryar Mohri,
Tong Zhang, and Julian Zimmert.
A provably efficient model-free posterior sampling method for episodic reinforcement learning. In Advances in Neural Information Processing Systems (NeurIPS 2021). Online, 2021. MIT Press.
|
| [39] | Corinna Cortes, Mehryar Mohri,
Ananda Theertha Suresh, and Ningshan Zhang.
A discriminative technique for multiple-source adaptation. In Proceedings of the 38th International Conference on Machine Learning (ICML 2021). Virtual, July 2021.
|
| [40] | Corinna Cortes, Mehryar
Mohri, and Ananda Theertha Suresh.
Relative deviation margin bounds. In Proceedings of the 38th International Conference on Machine Learning (ICML 2021). Virtual, July 2021.
|
| [41] | Yishay Mansour, Mehryar Mohri,
Jae Ro, Ananda Theertha Suresh, and Ke Wu.
A theory of multiple-source adaptation with limited target labeled data. In Twenty-Fourth Conference on Artificial Intelligence and Statistics (AISTATS 2021). Virtual, 2021.
|
| [42] | Raman Arora, Teodor Marinov,
and Mehryar Mohri.
Corralling stochastic bandit algorithms. In Twenty-Fourth Conference on Artificial Intelligence and Statistics (AISTATS 2021). Virtual, 2021.
|
| [43] | Judy Hoffman, Mehryar Mohri,
and Ningshan Zhang.
Multiple-source adaptation theory and algorithms. Annals of Mathematics and Artificial Intelligence, 89(3-4):37-270, 2021.
|
| [44] | Jae Ro, Mingqing Chen, Rajiv
Mathews, Mehryar Mohri, and Ananda Theertha Suresh.
Communication-efficient agnostic federated averaging. In Proceedings of the 22th Annual Conference of the International Speech Communication Association (Interspeech 2021). Brno, Czech Republic, September 2021.
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McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin
Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel
Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David
Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi,
Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie
He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi,
Gauri Joshi, Mikhail Khodak, Jakub Konecny, Aleksandra Korolova,
Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek
Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh,
Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang
Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian
Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang
Yang, Felix X. Yu, Han Yu, and Sen Zhao.
Advances and open problems in federated learning. Foundations and Trends in Machine Learning, 14(1-2):1-210, 2021.
|
| [46] | Christoph Dann, Yishay Mansour,
Mehryar Mohri, Ayush Sekhari, and Karthik Sridharan.
Reinforcement learning with feedback graphs. In Advances in Neural Information Processing Systems (NeurIPS 2020). Online, 2020. MIT Press.
|
| [47] | Dylan J. Foster, Claudio
Gentile, Mehryar Mohri, and Julian Zimmert.
Adapting to misspecification in contextual bandits. In Advances in Neural Information Processing Systems (NeurIPS 2020). Online, 2020. MIT Press.
|
| [48] | Corinna Cortes, Javier
Gonzalvo, Mehryar Mohri, and Dmitry Storcheus.
Agnostic learning with multiple objectives. In Advances in Neural Information Processing Systems (NeurIPS 2020). Online, 2020. MIT Press.
|
| [49] | Pranjal Awasthi, Satyen Kale,
Stefani Karp, and Mehryar Mohri.
PAC-Bayes learning bounds for sample-dependent priors. In Advances in Neural Information Processing Systems (NeurIPS 2020). Online, 2020. MIT Press.
|
| [50] | Pranjal Awasthi, Natalie
Frank, and Mehryar Mohri.
On the Rademacher complexity of linear hypothesis sets. CoRR, abs/2007.11045, July 2020.
|
| [51] | Pranjal Awasthi, Corinna
Cortes, Yishay Mansour, and Mehryar Mohri.
Beyond individual and group fairness. CoRR, abs/2008.09490, 2020.
|
| [52] | Pranjal Awasthi, Natalie
Frank, and Mehryar Mohri.
Adversarial learning guarantees for linear hypotheses and neural networks. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020). Online, July 2020.
|
| [53] | Corinna Cortes, Giulia
DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang.
Adaptive region-based active learning. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020). Online, July 2020.
|
| [54] | Sai Praneeth
Karimireddy, Satyen Kale, Mehryar Mohri, Sashank J. Reddi, Sebastian U.
Stich, and Ananda Theertha Suresh.
SCAFFOLD: stochastic controlled averaging for on-device federated learning. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020). Online, July 2020.
|
| [55] | Jenny Hamer, Mehryar Mohri,
and Ananda Theertha Suresh.
Fedboost: Communication-efficient algorithms for federated learning. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020). Online, July 2020.
|
| [56] | Corinna Cortes, Giulia DeSalvo,
Claudio Gentile, Mehryar Mohri, and Ningshan Zhang.
Online learning with dependent stochastic feedback graphs. In Proceedings of the 37th International Conference on Machine Learning (ICML 2020). Online, July 2020.
|
| [57] | Vitaly Kuznetsov and
Mehryar Mohri.
Discrepancy-based theory and algorithms for forecasting non-stationary time series. Annals of Mathematics and Artificial Intelligence, 86(1):1-33, 2020.
|
| [58] | Dylan J. Foster, Spencer
Greenberg, Satyen Kale, Haipeng Luo, Mehryar Mohri, and Karthik Sridharan.
Hypothesis set stability and generalization. In Advances in Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019. MIT Press.
|
| [59] | Raman Arora, Teodor Marinov,
and Mehryar Mohri.
Bandits with feedback graphs and switching costs. In Advances in Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019. MIT Press.
|
| [60] | Ben Adlam, Corinna Cortes,
Mehryar Mohri, and Ningshan Zhang.
Learning GANs and ensembles using discrepancy. In Advances in Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019. MIT Press.
|
| [61] | Corinna Cortes, Mehryar Mohri,
and Dmitry Storcheus.
Regularized gradient boosting. In Advances in Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019. MIT Press.
|
| [62] | Mehryar Mohri, Gary Sivek, and
Ananda Theertha Suresh.
Agnostic federated learning. In Proceedings of the 36th International Conference on Machine Learning (ICML 2019). Long Beach, California, June 2019.
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| [63] | Corinna Cortes, Giulia
DeSalvo, Claudio Gentile, Mehryar Mohri, and Scott Yang.
Online learning with sleeping experts and feedback graphs. In Proceedings of the 36th International Conference on Machine Learning (ICML 2019). Long Beach, California, June 2019.
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| [64] | Corinna Cortes, Giulia
DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang.
Active learning with disagreement graphs. In Proceedings of the 36th International Conference on Machine Learning (ICML 2019). Long Beach, California, June 2019.
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| [65] | Corinna Cortes, Vitaly
Kuznetsov, Mehryar Mohri, Holakou Rahmanian, and Manfred K. Warmuth.
Online non-additive path learning under full and partial information. In Proceedings of The 30th International Conference on Algorithmic Learning Theory (ALT 2019). volume to appear, Chicago, Illinois, 2019. Springer, Heidelberg, Germany.
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| [66] | Corinna Cortes, Spencer
Greenberg, and Mehryar Mohri.
Relative deviation learning bounds and generalization with unbounded loss functions. Annals of Mathematics and Artificial Intelligence, 85(1):45-70, 2019.
|
| [67] | Corinna Cortes, Mehryar Mohri,
and Andrés Muñoz Medina.
Adaptation algorithm and theory based on generalized discrepancy. Journal of Machine Learning Research (JMLR), 20(1):1-30, 2019.
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| [68] | Corinna Cortes, Giulia
DeSalvo, Claudio Gentile, Mehryar Mohri, and Ningshan Zhang.
Region-based active learning. In Twenty-Second Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan, April 2019.
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| [69] | Mehryar Mohri, Afshin
Rostamizadeh, and Ameet Talwalkar.
Foundations of Machine Learning. The MIT Press. Second edition, 2018. 504 pages.
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| [70] | Judy Hoffman, Mehryar Mohri,
and Ningshan Zhang.
Algorithms and theory for multiple-source adaptation. In Advances in Neural Information Processing Systems (NeurIPS 2018). Montréal, Canada, 2018. MIT Press.
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| [71] | Raman Arora, Michael Dinitz,
Teodor Marinov, and Mehryar Mohri.
Policy regret in repeated games. In Advances in Neural Information Processing Systems (NeurIPS 2018). Montréal, Canada, 2018. MIT Press.
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| [72] | Corinna Cortes, Vitaly
Kuznetsov, Mehryar Mohri, Dmitry Storcheus, and Scott Yang.
Efficient gradient computation for structured output learning with rational and tropical losses. In Advances in Neural Information Processing Systems (NeurIPS 2018). Montréal, Canada, 2018. MIT Press.
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| [73] | Dylan J. Foster, Satyen
Kale, Haipeng Luo, Mehryar Mohri, and Karthik Sridharan.
Logistic regression: The importance of being improper. In Proceedings of The 31st Annual Conference on Learning Theory (COLT 2018). Stockholm, Sweden, July 2018.
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| [74] | Corinna Cortes, Giulia DeSalvo,
Claudio Gentile, Mehryar Mohri, and Scott Yang.
Online learning with abstention. In Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Stockholm, Sweden, July 2018.
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| [75] | Mehryar Mohri and Scott Yang.
Competing with automata-based expert sequences. In Twenty-First Conference on Artificial Intelligence and Statistics (AISTATS 2018). Lanzarote, Spain, April 2018.
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| [76] | Borja Balle Pigem and
Mehryar Mohri.
Generalization bounds for learning weighted automata. Theoretical Computer Science, 716:89-106, 2018.
|
| [77] | Mehryar Mohri and Scott Yang.
Online learning with transductive regret. In Advances in Neural Information Processing Systems (NIPS 2017). Long Beach, CA, 2017. MIT Press.
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| [78] | Vitaly Kuznetsov and
Mehryar Mohri.
Discriminative state-space models. In Advances in Neural Information Processing Systems (NIPS 2017). Long Beach, CA, 2017. MIT Press.
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| [79] | Dylan Foster, Satyen Kale,
Mehryar Mohri, and Karthik Sridharan.
Parameter-free online learning via model selection. In Advances in Neural Information Processing Systems (NIPS 2017). Long Beach, CA, 2017. MIT Press.
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| [80] | Corinna Cortes, Javier
Gonzalvo, Vitaly Kuznetsov, Mehryar Mohri, and Scott Yang.
AdaNet: Adaptive structural learning of artificial neural networks. In Proceedings of the 34th International Conference on Machine Learning (ICML 2017). Sydney, Australia, August 2017.
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| [81] | Vitaly Kuznetsov and
Mehryar Mohri.
Generalization bounds for non-stationary mixing processes. Machine Learning, 106(1):93-117, 2017. Springer, Heidelberg, Germany.
|
| [82] | Mehryar Mohri and Michael
Riley.
A disambiguation algorithm for weighted automata. Theoretical Computer Science, 679:53-68, 2017.
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| [83] | Corinna Cortes, Vitaly
Kuznetsov, Mehryar Mohri, and Scott Yang.
Structured prediction theory based on factor graph complexity. In Advances in Neural Information Processing Systems (NIPS 2016). Barcelona, Spain, 2016. MIT Press.
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| [84] | Mehryar Mohri and Scott Yang.
Optimistic bandit convex optimization. In Advances in Neural Information Processing Systems (NIPS 2016). Barcelona, Spain, 2016. MIT Press.
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| [85] | Corinna Cortes, Giulia
DeSalvo, and Mehryar Mohri.
Boosting with abstention. In Advances in Neural Information Processing Systems (NIPS 2016). Barcelona, Spain, 2016. MIT Press.
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| [86] | Vitaly Kuznetsov, Hank
Liao, Mehryar Mohri, Michael Riley, and Brian Roark.
Learning n-gram language models from uncertain data. In Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech 2016). San Francisco, CA, September 2016.
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| [87] | Mehryar Mohri and Scott Yang.
Structural online learning. In Proceedings of The 27th International Conference on Algorithmic Learning Theory (ALT 2016). volume 9925, pages 223-237, Bari, Italy, 2016. Springer, Heidelberg, Germany.
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| [88] | Corinna Cortes, Giulia DeSalvo,
and Mehryar Mohri.
Learning with rejection. In Proceedings of The 27th International Conference on Algorithmic Learning Theory (ALT 2016). volume 9925, pages 67-82, Bari, Italy, 2016. Springer, Heidelberg, Germany.
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| [89] | Vitaly Kuznetsov and
Mehryar Mohri.
Time series prediction and online learning. In Proceedings of The 29th Annual Conference on Learning Theory (COLT 2016). New York, NY, June 2016.
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| [90] | Mehryar Mohri and Scott
Yang.
Adaptive algorithms and data-dependent guarantees for bandit convex optimization. In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2016). New York, NY, June 2016.
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| [91] | Mehryar Mohri and Scott Yang.
Accelerating optimization via adaptive prediction. In Nineteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2016). Cádiz, Spain, May 2016.
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| [92] | Giulia DeSalvo and Mehryar
Mohri.
Random composite forests. In Thirtieth AAAI Conference on Artificial Intelligence (AAAI 2016). AAAI Press, 2016.
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Andrés Muñoz Medina.
Learning algorithms for second-price auctions with reserve. Journal of Machine Learning Research (JMLR), 17(74):1-25, 2016.
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Mehryar Mohri.
Learning theory and algorithms for forecasting non-stationary time series. In Advances in Neural Information Processing Systems (NIPS 2015). Montréal, Canada, 2015. MIT Press.
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Andrés Muñoz Medina.
Revenue optimization against strategic buyers. In Advances in Neural Information Processing Systems (NIPS 2015). Montréal, Canada, 2015. MIT Press.
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Kuznetsov, Mehryar Mohri, and Manfred K. Warmuth.
On-line learning algorithms for path experts with non-additive losses. In Proceedings of The 28th Annual Conference on Learning Theory (COLT 2015). Paris, France, July 2015.
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Kuznetsov, Mehryar Mohri, and Umar Syed.
Structural Maxent models. In Proceedings of the 32nd International Conference on Machine Learning (ICML 2015). Lille, France, July 2015.
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| [98] | Borja Balle Pigem and
Mehryar Mohri.
On the Rademacher complexity of weighted automata. In Proceedings of The 26th International Conference on Algorithmic Learning Theory (ALT 2015). volume 9355, pages 179-193, Banff, Canada, October 2015. Springer, Heidelberg, Germany.
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Mohri, and Umar Syed.
Learning with deep cascades. In Proceedings of The 26th International Conference on Algorithmic Learning Theory (ALT 2015). volume 9355, pages 254-269, Banff, Canada, October 2015. Springer, Heidelberg, Germany.
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Andrés Muñoz Medina.
Non-parametric revenue optimization for generalized second-price auctions. In Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015). Amsterdam, The Netherlands, July 2015.
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| [101] | Borja Balle Pigem and Mehryar
Mohri.
Learning weighted automata. In Proceedings of The 6th International Conference on Algebraic Informatics (CAI 2015). volume 9270, pages 1-21, Stuttgart, Germany, September 2015. Springer, Heidelberg, Germany.
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| [102] | Corinna Cortes, Mehryar Mohri,
and Andrés Muñoz Medina.
Adaptation algorithm and theory based on generalized discrepancy. In Proceedings of the 21st ACM Conference on Knowledge Discovery and Data Mining (KDD 2015). Sydney, Australia, August 2015.
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Vitaly Kuznetsov, and Mehryar Mohri.
Kernel extraction via voted risk minimization. Journal of Machine Learning Research (JMLR), 44:72-89, 2015.
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Rostamizadeh, and Dmitry Storcheus.
Generalization bounds for supervised dimensionality reduction. Journal of Machine Learning Research (JMLR), 44:226-241, 2015.
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and Ananda Theertha Suresh.
Automata and graph compression. In IEEE International Symposium on Information Theory (ISIT 2015). Hong Kong, China, 2015.
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Riley.
On the disambiguation of weighted automata. In Proceedings of the 20th International Conference on Implementation and Application of Automata (CIAA 2015). Umeå, Sweden, August 2015.
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Andrés Muñoz Medina.
Optimal regret minimization in posted-price auctions with strategic buyers. In Advances in Neural Information Processing Systems (NIPS 2014). Montréal, Canada, 2014. MIT Press.
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Mohri, and Umar Syed.
Multi-class deep boosting. In Advances in Neural Information Processing Systems (NIPS 2014). Montréal, Canada, 2014. MIT Press.
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Conditional swap regret and conditional correlated equilibrium. In Advances in Neural Information Processing Systems (NIPS 2014). Montréal, Canada, 2014. MIT Press.
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Mehryar Mohri.
Generalization bounds for time series prediction with non-stationary processes. In Proceedings of The 25th International Conference on Algorithmic Learning Theory (ALT 2014). volume 8776, pages 260-274, Bled, Slovenia, October 2014. Springer, Heidelberg, Germany.
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Mohri, and Umar Syed.
Deep boosting. In Proceedings of the 31st International Conference on Machine Learning (ICML 2014). Beijing, China, June 2014.
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Andrés Muñoz Medina.
Learning theory and algorithms for revenue optimization in second-price auctions with reserve. In Proceedings of the 31st International Conference on Machine Learning (ICML 2014). Beijing, China, June 2014.
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Kuznetsov, and Mehryar Mohri.
Ensemble methods for structured prediction. In Proceedings of the 31st International Conference on Machine Learning (ICML 2014). Beijing, China, June 2014.
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Mehryar Mohri.
Domain adaptation and sample bias correction theory and algorithm for regression. Theoretical Computer Science, 519, 2014.
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Kuznetsov, and Mehryar Mohri.
Learning ensembles of structured prediction rules. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014). Baltimore, MD, June 2014.
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Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, and Lauren Wong.
Corporate learning at scale: lessons from a large online course at google. In ACM Conference on Learning @ Scale (L@S). pages 187-188, Atlanta, GA, 2014.
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and Mehryar Mohri.
Learning kernels using local Rademacher complexity. In Advances in Neural Information Processing Systems (NIPS 2013). Lake Tahoe, Nevada, 2013. MIT Press.
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Mehryar Mohri.
Tight lower bound on the probability of a binomial exceeding its expectation. Statistics and Probability Letters, 86:91-98, 2013.
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and Afshin Rostamizadeh.
Multi-class classification with maximum margin multiple kernel. In Proceedings of the Thirtieth International Conference on Machine Learning (ICML 2013). Atlanta, GA, June 2013.
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On the disambiguation of finite automata and functional transducers. International Journal of Foundations of Computer Science, 24(6):847-862, 2013.
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Afshin Rostamizadeh.
Perceptron mistake bounds. ArXiv 1305.0208. March 2013.
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Spectral learning of general weighted automata via constrained matrix completion. In Advances in Neural Information Processing Systems (NIPS 2012). Lake Tahoe, Nevada, 2012. MIT Press.
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Mehryar Mohri, and Ana Radovanovic.
Accuracy at the top. In Advances in Neural Information Processing Systems (NIPS 2012). Lake Tahoe, Nevada, 2012. MIT Press.
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Andrés Muñoz Medina.
New analysis and algorithm for learning with drifting distributions. In Proceedings of The 23rd International Conference on Algorithmic Learning Theory (ALT 2012). volume 7568, pages 124-138, Lyon, France, October 2012. Springer, Heidelberg, Germany.
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Rostamizadeh, and Ameet Talwalkar.
Foundations of Machine Learning. The MIT Press. First edition, 2012. 432 pages.
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A disambiguation algorithm for finite automata and functional transducers. In Proceedings of the 17th International Conference on Implementation and Application of Automata (CIAA 2012). Porto, Portugal, 2012.
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Mohri, and Afshin Rostamizadeh.
Algorithms for learning kernels based on centered alignment. Journal of Machine Learning Research (JMLR), 13:795-828, 2012.
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and Ameet Talwalkar.
Sampling methods for the Nyström method. Journal of Machine Learning Research (JMLR), 13:981-1006, 2012.
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Mohri, and Ameet Talwalkar.
Ensemble Nyström. In Cha Zhang and Yunqian Ma, editors, Ensemble Machine Learning. pages 203-223. Springer, 2012.
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Mohri.
Domain adaptation in regression. In Proceedings of The 22nd International Conference on Algorithmic Learning Theory (ALT 2011). volume 6925, pages 308-323, Espoo, Finland, October 2011. Springer, Heidelberg, Germany.
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Cortes, and Mehryar Mohri.
A dual coordinate descent algorithm for SVMs combined with rational kernels. International Journal of Foundations of Computer Science, 22(8):1761-1779, 2011.
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and Afshin Rostamizadeh.
Ensembles of kernel predictors. In Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011). Barcelona, Spain, July 2011.
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Talwalkar.
Can matrix coherence be efficiently and accurately estimated?. In Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011). Ft. Lauderdale, FL, April 2011.
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Mohri, and Ashish Rastogi.
General algorithms for testing the ambiguity of finite automata and the double-tape ambiguity of finite-state transducers. International Journal of Foundations of Computer Science, 22(4), 2011.
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Mansour, and Mehryar Mohri.
Learning bounds for importance weighting. In Advances in Neural Information Processing Systems (NIPS 2010). Vancouver, Canada, 2010. MIT Press.
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and Afshin Rostamizadeh.
Generalization bounds for learning kernels. In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010). Haifa, Israel, June 2010.
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Mohri, and Afshin Rostamizadeh.
Two-stage learning kernel methods. In Proceedings of the Twenty-seventh International Conference on Machine Learning (ICML 2010). Haifa, Israel, June 2010.
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Afshin Rostamizadeh.
Stability bounds for stationary phi-mixing and beta-mixing processes. Journal of Machine Learning Research (JMLR), 11:798-814, 2010.
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Preference-based learning to rank. Machine Learning Journal, 8(2-3):189-211, 2010. Springer, Heidelberg, Germany.
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Cortes, and Mehryar Mohri.
Large-scale training of SVMs with automata kernels. In Proceedings of the 15th International Conference on Implementation and Application of Automata (CIAA 2010). volume 6482, pages 17-27, Winnipeg, Canada, 2010.
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and Ameet Talwalkar.
On the impact of kernel approximation on learning accuracy. In Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010). Sardinia, Italy, May 2010.
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and Eugene Weinstein.
Discriminative topic segmentation of text and speech. In Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010). Sardinia, Italy, May 2010.
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Grangier, Ronan Collobert, Corinna Cortes, and Mehryar Mohri.
Half transductive ranking. In Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010). Sardinia, Italy, May 2010.
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Shankar Kumar, Wolfgang Macherey, Mehryar Mohri, and Michael Riley.
Expected sequence similarity maximization. In Proceedings of the 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2010). Los Angeles, CA, May 2010.
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Ameet Talwalkar.
Ensemble Nyström method. In Advances in Neural Information Processing Systems (NIPS 2009). Vancouver, Canada, 2009. MIT Press.
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Mehryar Mohri, Nathan Silberman, and Daniel D. Walker.
Efficient large-scale distributed training of conditional maximum entropy models. In Advances in Neural Information Processing Systems (NIPS 2009). Vancouver, Canada, 2009. MIT Press.
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and Afshin Rostamizadeh.
Learning non-linear combinations of kernels. In Advances in Neural Information Processing Systems (NIPS 2009). Vancouver, Canada, 2009. MIT Press.
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Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, and
Mehryar Mohri.
Polynomial semantic indexing. In Advances in Neural Information Processing Systems (NIPS 2009). Vancouver, Canada, 2009. MIT Press.
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Haffner, and Mehryar Mohri.
Des algorithmes d'apprentissage pour mieux classifier. Pour la Science, numéro 386, Décembre 2009.
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Mohri, and Afshin Rostamizadeh.
Domain adaptation: Learning bounds and algorithms. In Proceedings of The 22nd Annual Conference on Learning Theory (COLT 2009). Montréal, Canada, June 2009. Omnipress.
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Mohri, and Afshin Rostamizadeh.
L2 regularization for learning kernels. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). Montréal, Canada, June 2009.
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Mohri, and Afshin Rostamizadeh.
Multiple source adaptation and the Rényi divergence. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009). Montréal, Canada, June 2009.
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and Ameet Talwalkar.
On sampling-based approximate spectral decomposition. In Proceedings of the Twenty-sixth International Conference on Machine Learning (ICML 2009). Montréal, Canada, June 2009.
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Eugene Weinstein.
General suffix automaton construction algorithm and space bounds. Theoretical Computer Science, 410(37):3553-3562, 2009.
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Mehryar Mohri.
N-way composition of weighted finite-state transducers. International Journal of Foundations of Computer Science, 20(4):613-627, 2009.
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and Eugene Weinstein.
Efficient and robust music identification with weighted finite-state transducers. IEEE Transactions on Audio, Speech, and Language Processing, 18(1):197-207, 2009.
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Moreno, and Eugene Weinstein.
A new quality measure for topic segmentation of text and speech. In Proceedings of the 10th Annual Conference of the International Speech Communication Association (Interspeech 2009). Brighton, UK, September 2009.
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Ameet Talwalkar.
Sampling techniques for the Nyström method. In Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009). pages 304-311, Clearwater Beach, Florida, April 2009.
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and Fernando Pereira.
Gaussian margin machines. In Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009). pages 105-112, Clearwater Beach, Florida, April 2009.
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Weighted automata algorithms. In Manfred Droste, Werner Kuich, and Heiko Vogler, editors, Handbook of Weighted Automata. Monographs in Theoretical Computer Science, pages 213-254. Springer, 2009.
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Mohri.
Linear-space computation of the edit-distance between a string and a finite automaton. In London Algorithmics 2008: Theory and Practice. volume 11 of Texts in Algorithmics, dedicated to Maxime Crochemore on his 60th birthday. College Publications, June 2009.
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Afshin Rostamizadeh.
Rademacher complexity bounds for non-i.i.d. processes. In Advances in Neural Information Processing Systems (NIPS 2008). pages 1097-1104, Vancouver, Canada, 2009. MIT Press.
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and Afshin Rostamizadeh.
Domain adaptation with multiple sources. In Advances in Neural Information Processing Systems (NIPS 2008). pages 1041-1048, Vancouver, Canada, 2009. MIT Press.
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Dmitry Pechyony, and Ashish Rastogi.
Stability analysis and learning bounds for transductive regression algorithms. ArXiv 0904.0814. April 2009.
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and Afshin Rostamizadeh.
Learning sequence kernels. In Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2008), (invited lecture). Cancún, Mexico, October 2008.
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Michael Riley, and Afshin Rostamizadeh.
Sample selection bias correction theory. In Proceedings of The 19th International Conference on Algorithmic Learning Theory (ALT 2008). volume 5254 of Lecture Notes in Computer Science, pages 38-53, Budapest, Hungary, October 2008. Springer, Heidelberg, Germany.
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Mehryar Mohri.
Learning with weighted transducers. In Proceedings of the Seventh International Workshop Finite-State Methods and Natural Language Processing (FSMNLP 2008), (invited lecture). Ispra, Italy, September 2008.
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and Ashish Rastogi.
General algorithms for testing the ambiguity of finite automata. In Proceedings of Twelfth International Conference Developments in Language Theory (DLT 2008). volume 5257 of Lecture Notes in Computer Science, Kyoto, Japan, September 2008. Springer, Heidelberg, Germany.
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Mehryar Mohri.
An efficient reduction of ranking to classification. In Proceedings of The 21st Annual Conference on Learning Theory (COLT 2008). Helsinki, Finland, July 2008. Omnipress.
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Dmitry Pechyony, and Ashish Rastogi.
Stability of transductive regression algorithms. In Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008). Helsinki, Finland, July 2008.
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and Ameet Talwalkar.
Sequence kernels for predicting protein essentiality. In Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008). Helsinki, Finland, July 2008.
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Mohri.
3-way composition of weighted finite-state transducers. In Proceedings of the 13th International Conference on Implementation and Application of Automata (CIAA 2008). volume 5148 of Lecture Notes in Computer Science, pages 262-273, San Francisco, California, July 2008. Springer-Verlag, Heidelberg, Germany.
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Corinna Cortes, and Mehryar Mohri.
Kernel methods for learning languages. Theoretical Computer Science, 405:223-236, 2008.
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Afshin Rostamizadeh.
Stability bounds for non-i.i.d. processes. In Advances in Neural Information Processing Systems (NIPS 2007). Vancouver, Canada, 2008. MIT Press.
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Haffner, and Mehryar Mohri.
A machine learning framework for spoken-dialog classification. In Larry Rabiner and Fred Juang, editors, Handbook on Speech Processing and Speech Communication, Part E: Speech recognition. Springer-Verlag, Heidelberg, Germany, 2008.
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Ashish Rastogi, and Michael Riley.
On the computation of the relative entropy of probabilistic automata. International Journal of Foundations of Computer Science, 19(1):219-242, 2008.
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Pereira, and Michael Riley.
Speech recognition with weighted finite-state transducers. In Larry Rabiner and Fred Juang, editors, Handbook on Speech Processing and Speech Communication, Part E: Speech recognition. Springer-Verlag, Heidelberg, Germany, 2008.
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An efficient reduction of ranking to classification. Technical Report TR2007-903, Courant Institute of Mathematical Sciences, New York University, September 2007.
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Mohri.
N-way composition of weighted finite-state transducers. Technical Report TR2007-902, Courant Institute of Mathematical Sciences, New York University, August 2007.
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Kontorovich, and Mehryar Mohri.
Learning languages with rational kernels. In Proceedings of The 20th Annual Conference on Learning Theory (COLT 2007). volume 4539 of Lecture Notes in Computer Science, pages 349-364, San Diego, California, June 2007. Springer, Heidelberg, Germany.
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Mohri, and Ashish Rastogi.
Magnitude-preserving ranking algorithms. In Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML 2007). Oregon State University, Corvallis, OR, June 2007.
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Eugene Weinstein.
Factor automata of automata and applications. In Proceedings of the 12th International Conference on Implementation and Application of Automata (CIAA 2007). volume 4783 of Lecture Notes in Computer Science, pages 168-179, Prague, Czech Republic, July 2007. Springer-Verlag, Heidelberg, Germany.
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and Eugene Weinstein.
Robust music identification, detection, and analysis. In Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR 2007). Vienna, Austria, September 2007.
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and Ashish Rastogi.
An Alternative Ranking Problem for Search Engines. In Proceedings of the 6th Workshop on Experimental Algorithms (WEA 2007). volume 4525 of Lecture Notes in Computer Science, pages 1-21, Rome, Italy, June 2007. Springer-Verlag, Heidelberg, Germany.
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Johan Schalkwyk, Wojciech Skut, and Mehryar Mohri.
OpenFst: a general and efficient weighted finite-state transducer library. In Proceedings of the 12th International Conference on Implementation and Application of Automata (CIAA 2007). volume 4783 of Lecture Notes in Computer Science, pages 11-23, Prague, Czech Republic, July 2007. Springer-Verlag, Heidelberg, Germany.
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and Ashish Rastogi.
Lp Distance and Equivalence of Probabilistic Automata. International Journal of Foundations of Computer Science, 18(4):761-780, 2007.
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Mohri.
On Transductive Regression. In Advances in Neural Information Processing Systems (NIPS 2006). pages 305-312, Vancouver, Canada, 2007. MIT Press.
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and Jason Weston.
A General Regression Framework for Learning String-to-String Mappings. In Predicting Structured Data. The MIT Press, September 2007.
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Cortes, and Mehryar Mohri.
Learning Linearly Separable Languages. In Proceedings of The 17th International Conference on Algorithmic Learning Theory (ALT 2006). volume 4264 of Lecture Notes in Computer Science, pages 288-303, Barcelona, Spain, October 2006. Springer, Heidelberg, Germany.
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Mehryar Mohri.
A Unified Construction of the Glushkov, Follow, and Antimirov Automata. In Proceedings of the 31st International Symposium on Mathematical Foundations of Computer Science (MFCS 2006). volume 4162 of Lecture Notes in Computer Science, pages 110-121, Stará Lesná, Slovakia, August 2006. Springer-Verlag, Heidelberg, Germany.
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Mohri, and Ashish Rastogi.
On the Computation of Some Standard Distances between Probabilistic Automata. In Proceedings of the 11th International Conference on Implementation and Application of Automata (CIAA 2006). volume 4094 of Lecture Notes in Computer Science, pages 137-149, Taipei, Taiwan, August 2006. Springer-Verlag, Heidelberg, Germany.
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Roark.
Probabilistic Context-Free Grammar Induction Based on Structural Zeros. In Proceedings of the Seventh Meeting of the Human Language Technology conference- North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2006). New York, NY, June 2006.
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Ashish Rastogi, and Michael Riley.
Efficient Computation of the Relative Entropy of Probabilistic Automata. In Proceedings of the 7th Latin American Symposium (LATIN 2006). volume 3887 of Lecture Notes in Computer Science, pages 323-336, Valdivia, Chile, March 2006. Springer-Verlag, Heidelberg, Germany.
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Sproat.
On a Common Fallacy in Computational Linguistics. In Mickael Suominen, Antti Arppe, Anu Airola, Orvokki Heinämäki, Matti Miestamo, Urho Määttä, Jussi Niemi, Kari K. Pitkänen and Kaius Sinnemäki, editor, A Man of Measure: Festschrift in Honour of Fred Karlsson on this 60th Birthday. pages 432-439. SKY Journal of Linguistics, Volume 19, 2006.
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Mohri.
Moment Kernels for Regular Distributions. Machine Learning, 60(1-3):117-134, September 2005.
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Local Grammar Algorithms. In Antti Arppe, Lauri Carlson, Krister Lindèn, Jussi Piitulainen, Mickael Suominen, Martti Vainio, Hanna Westerlund, and Anssi Yli-Jyrä, editor, Inquiries into Words, Constraints, and Contexts. Festschrift in Honour of Kimmo Koskenniemi on his 60th Birthday. pages 84-93. CSLI Publications, Stanford University, 2005.
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Roark.
Structural Zeros versus Sampling Zeros. Technical Report CSEE-05-003, OGI School of Science & Engineering, Oregon Health & Science University, September 2005.
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Mehryar Mohri.
Multi-Armed Bandit Algorithms and Empirical Evaluation. In Proceedings of the 16th European Conference on Machine Learning (ECML 2005). volume 3720 of Lecture Notes in Computer Science, pages 437-448, Porto, Portugal, October 2005. Springer, Heidelberg, Germany.
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and Jason Weston.
A General Regression Technique for Learning Transductions. In Proceedings of the Twenty-Second International Conference on Machine Learning (ICML 2005). pages 153-160, Bonn, Germany, August 2005.
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Mohri.
Finite-State Transducers in Computational Biology. In Tutorial presented at the 13th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB 2005). Detroit, MI, June 2005.
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Mehryar Mohri, and Robert E. Schapire.
Margin-Based Ranking Meets Boosting in the Middle. In Proceedings of The 18th Annual Conference on Computational Learning Theory (COLT 2005). volume 3359 of Lecture Notes in Computer Science, pages 63-78, Bertinoro, Italy, June 2005. Springer, Heidelberg, Germany.
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Statistical Natural Language Processing. In M. Lothaire, editor, Applied Combinatorics on Words. Cambridge University Press, 2005.
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Mohri, and Brian Roark.
The Design Principles and Algorithms of a Weighted Grammar Library. International Journal of Foundations of Computer Science, 16(3):403-421, 2005.
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Mohri.
A Comparison of Classifiers for Detecting Emotion from Speech. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005). Philadelphia, Pennsylvania, March 2005.
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Mohri.
Confidence Intervals for the Area under the ROC Curve. In Advances in Neural Information Processing Systems (NIPS 2004). volume 17, Vancouver, Canada, 2005. MIT Press.
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Mohri.
An Optimal Pre-Determinization Algorithm for Weighted Transducers. Theoretical Computer Science, 328(1-2):3-18, November 2004.
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Mohri.
Distribution Kernels Based on Moments of Counts. In Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004). Banff, Alberta, Canada, July 2004.
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Haffner, and Mehryar Mohri.
Rational kernels: Theory and algorithms. Journal of Machine Learning Research (JMLR), 5:1035-1062, 2004.
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Mohri, and Brian Roark.
A general weighted grammar library. In Ninth International Conference on Automata (CIAA 2004), Kingston, Canada, July 22-24, 2004. volume 3317 of Lecture Notes in Computer Science, pages 23-34. Springer-Verlag, Berlin-NY, 2005.
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Mohri, and Michael Riley.
Statistical modeling for unit selection in speech synthesis. In 42nd Meeting of the Association for Computational Linguistics (ACL 2004), Proceedings of the Conference. Barcelona, Spain, July 2004.
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Weighted Finite-State Transducer Algorithms: An Overview. In Carlos Martín-Vide, Victor Mitrana, and Gheorghe Paun, editors, Formal Languages and Applications. volume 148, VIII, 620 p., pages 551-564. Springer, Berlin, 2004.
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Mohri, and Brian Roark.
A General Weighted Grammar Library. In Proceedings of the Ninth International Conference on Automata (CIAA 2004). Kingston, Ontario, Canada, July 2004.
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Mohri, and Murat Saraclar.
General Indexation of Weighted Automata-- Application to Spoken Utterance Retrieval. In Proceedings of the annual meeting of the Human Language Technology conference and North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2004), Workshop on Interdisciplinary Approaches to Speech Indexing and Retrieval. pages 33-40, Boston, Massachusetts, May 2004.
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Mohri, Brian Roark, and Michael Riley.
A Generalized Construction of Integrated Speech Recognition Transducers. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004). Montréal, Canada, May 2004.
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Mohri.
AUC Optimization vs. Error Rate Minimization. In Advances in Neural Information Processing Systems (NIPS 2003). volume 16, Vancouver, Canada, 2004. MIT Press.
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Learning from Uncertain Data. In Proceedings of The 16th Annual Conference on Computational Learning Theory (COLT 2003). volume 2777 of Lecture Notes in Computer Science, pages 656-670, Washington D.C., August 2003. Springer, Heidelberg, Germany.
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Haffner, and Mehryar Mohri.
Positive Definite Rational Kernels. In Proceedings of The 16th Annual Conference on Computational Learning Theory (COLT 2003). volume 2777 of Lecture Notes in Computer Science, pages 41-56, Washington D.C., August 2003. Springer, Heidelberg, Germany.
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Edit-distance of weighted automata: General definitions and algorithms. International Journal of Foundations of Computer Science, 14(6):957-982, 2003.
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Mehryar Mohri.
Efficient algorithms for testing the twins property. Journal of Automata, Languages and Combinatorics, 8(2):117-144, 2003.
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Mohri, and Brian Roark.
Generalized Algorithms for Constructing Statistical Language Models. In 41st Meeting of the Association for Computational Linguistics (ACL 2003), Proceedings of the Conference, Sapporo, Japan. July 2003.
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Haffner, and Mehryar Mohri.
Weighted Automata Kernels-- General Framework and Algorithms. In Proceedings of the 9th European Conference on Speech Communication and Technology (Eurospeech '03), Special Session Advanced Machine Learning Algorithms for Speech and Language Processing. Geneva, Switzerland, September 2003.
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Mehryar Mohri.
An Efficient Pre-Determinization Algorithm. In Eighth International Conference on Automata (CIAA 2003), Santa Barbara, CA. volume 2759 of Lecture Notes in Computer Science, pages 83-95. Springer, Berlin-NY, July 2003.
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and Mehryar Mohri.
Voice Signatures. In Proceedings of The 8th IEEE Automatic Speech Recognition and Understanding Workshop (ASRU 2003). St. Thomas, U.S. Virgin Islands, November 2003.
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Haffner, and Mehryar Mohri.
Lattice Kernels for Spoken-Dialog Classification. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003). Hong Kong, April 2003.
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Mehryar Mohri.
Finitely Subsequential Transducers. International Journal of Foundations of Computer Science, 14(6):983-994, 2003.
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Mohri.
Generalized Optimization Algorithm for Speech Recognition Transducers. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2003). Hong Kong, April 2003.
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Haffner, and Mehryar Mohri.
Rational Kernels. In Advances in Neural Information Processing Systems (NIPS 2002). volume 15, Vancouver, Canada, March 2003. MIT Press.
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Edit-Distance of Weighted Automata. In Jean-Marc Champarnaud and Denis Maurel, editor, Seventh International Conference on Automata (CIAA 2002), Tours, France. volume 2608 of Lecture Notes in Computer Science, pages 1-23. Springer, Berlin-NY, April 2003.
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Mehryar Mohri.
p-Subsequentiable Transducers. In Jean-Marc Champarnaud and Denis Maurel, editor, Seventh International Conference on Automata (CIAA 2002), Tours, France. volume 2608 of Lecture Notes in Computer Science, pages 24-34. Springer, Berlin-NY, April 2003.
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Semiring Frameworks and Algorithms for Shortest-Distance Problems. Journal of Automata, Languages and Combinatorics, 7(3):321-350, 2002.
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Riley.
An Efficient Algorithm for the N-Best-Strings Problem. In Proceedings of the International Conference on Spoken Language Processing 2002 (ICSLP '02). Denver, Colorado, September 2002.
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Michael Riley, and Mehryar Mohri.
A Comparison of Two LVR Search Optimization Techniques. In Proceedings of the International Conference on Spoken Language Processing 2002 (ICSLP '02). Denver, Colorado, September 2002.
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Riley.
Weighted Finite-State Transducers in Speech Recognition (Tutorial). In Proceedings of the International Conference on Spoken Language Processing 2002 (ICSLP '02). Denver, Colorado, September 2002.
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Edit-Distance of Weighted Automata. In Proceedings of the Seventh International Conference on Automata (CIAA 2002). Tours, France, July 2002.
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Mohri.
p-Subsequentiable Transducers. In Proceedings of the Seventh International Conference on Automata (CIAA 2002). Tours, France, July 2002.
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Generic Epsilon-Removal and Input Epsilon-Normalization Algorithms for Weighted Transducers. International Journal of Foundations of Computer Science, 13(1):129-143, 2002.
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Weighted Automata Algorithms (Tutorial). In Proceedings of the workshop Weighted Automata: Theory and Applications (WATA). Dresden, Germany, March 2002.
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Mehryar Mohri.
On the Determinizability of Weighted Automata and Transducers. In Proceedings of the workshop Weighted Automata: Theory and Applications (WATA). Dresden, Germany, March 2002.
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Pereira, and Michael Riley.
Weighted Finite-State Transducers in Speech Recognition. Computer Speech and Language, 16(1):69-88, 2002.
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Riley.
A Weight Pushing Algorithm for Large Vocabulary Speech Recognition. In Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech '01). Aalborg, Denmark, September 2001.
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Language Processing with Weighted Transducers. In Proceedings of the 8th annual conference Traitement Automatique des Langues Naturelles (TALN 2001). Tours, France, July 2001.
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Weighted Grammar Tools: the GRM Library. In Robustness in Language and Speech Technology. pages 165-186. Kluwer Academic Publishers, The Netherlands, 2001.
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Generic Epsilon-Removal Algorithm for Weighted Automata. In Sheng Yu and Andrei Paun, editor, 5th International Conference on Automata (CIAA 2000), London Ontario, Canada. volume 2088 of Lecture Notes in Computer Science, pages 230-242. Springer-Verlag, Berlin-NY, 2001.
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Mark-Jan Nederhof.
Regular Approximation of Context-Free Grammars through Transformation. In Robustness in Language and Speech Technology. pages 153-163. Kluwer Academic Publishers, The Netherlands, 2001.
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Generic Epsilon-Removal Algorithm for Weighted Automata. In Proceedings of the Fifth International Conference on Automata (CIAA 2000). London, Ontario, Canada, July 2000.
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Minimization Algorithms for Sequential Transducers. Theoretical Computer Science, 234:177-201, March 2000.
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Mehryar Mohri.
Context-Free Recognition with Weighted Automata. Grammars, 3(2-3), 2000.
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| [248] | Mehryar Mohri, Fernando C. N.
Pereira, and Michael Riley.
The Design Principles of a Weighted Finite-State Transducer Library. Theoretical Computer Science, 231:17-32, January 2000.
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C. N. Pereira, and Michael Riley.
Weighted Finite-State Transducers in Speech Recognition. In Proceedings of the ISCA Tutorial and Research Workshop, Automatic Speech Recognition: Challenges for the new Millenium (ASR2000). Paris, France, September 2000.
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Mohri.
Context-Free Recognition with Weighted Automata. In Proceedings of the Sixth Meeting on Mathematics of Language (MOL6). Orlando, Florida, 1999.
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Mohri, and Michael Riley.
Rapid Unit Selection from a Large Speech Corpus for Concatenative Speech Synthesis. In Proceedings of the 6th European Conference on Speech Communication and Technology (Eurospeech '99). Budapest, Hungary, 1999.
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Riley.
Integrated Context-Dependent Networks in Very Large Vocabulary Speech Recognition. In Proceedings of the 6th European Conference on Speech Communication and Technology (Eurospeech '99). Budapest, Hungary, 1999.
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Comments on Jelinek, Language modeling for speech recognition, by Frederick Jelinek. In Extended Finite State Models of Language. Cambridge University Press, Cambridge, 1999.
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Riley.
Network Optimizations for Large Vocabulary Speech Recognition. Speech Communication, 28(1):1-12, 1999.
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| [255] | Mehryar Mohri.
General Algebraic Frameworks and Algorithms for Shortest-Distance Problems. Technical Memorandum 981210-10TM, AT&T Labs- Research, 62 pages, 1998.
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| [256] | Mehryar Mohri.
Speech Processing. Graduate course, Columbia University, Department of Computer Science, New York, NY, 515 pages. 1998.
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C. N. Pereira.
Dynamic Compilation of Weighted Context-Free Grammars. In 36th Meeting of the Association for Computational Linguistics (ACL '98), Proceedings of the Conference, Montréal, Québec, Canada. pages 891-897, 1998.
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Don Hindle, Andrej Ljolje, and Fernando C. N. Pereira.
Full Expansion of Context-Dependent Networks in Large Vocabulary Speech Recognition. In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP '98). Seattle, Washington, 1998.
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Pereira, and Michael Riley.
A Rational Design for a Weighted Finite-State Transducer Library. In Derick Wood and Sheng Yu, editors, Proceedings of the Second International Workshop on Implementing Automata (WIA '97). volume 1436 of Lecture Notes in Computer Science, pages 144-158. Springer-Verlag, Berlin-NY, September 1998.
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G. DiFabbrizio, A. Abella, M. Mohri, S. Narayan, I. Zeljkovic, R. Sharp,
J. Wright, S. Marcus, J. Shaffer, R. Duncan, and J. G. Wilpon.
VPQ: A Spoken Language Interface to Large Scale Directory Information. In Proceedings of the 1998th International Conference on Spoken Language Processing (ICSLP '98). Sydney, Australia, 1998.
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String-Matching with Automata. Nordic Journal of Computing, 4(2):217-231, Summer 1997.
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On the use of sequential transducers in natural language processing. In Finite-State Language Processing. The MIT Press, Cambridge, Massachusetts, 1997.
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Finite-State Transducers in Language and Speech Processing. Computational Linguistics, 23:2, 1997.
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Riley.
Weighted Determinization and Minimization for Large Vocabulary Speech Recognition. In Proceedings of the 5th European Conference on Speech Communication and Technology (Eurospeech '97). Rhodes, Greece, 1997.
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Pereira, and Michael Riley.
A Rational Design for a Weighted Finite-State Transducer Library. In Proceedings of the Workshop on Implementing Automata (WIA '97), London, Ontario, Canada. University of Western Ontario, London, Ontario, Canada, September 18-20 1997.
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Pereira, and Mehryar Mohri.
Transducer Composition for Context-Dependent Network Expansion. In Proceedings of the 5th European Conference on Speech Communication and Technology (Eurospeech '97). Rhodes, Greece, 1997.
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Pereira, and Michael Riley.
A Rational Design for a Weighted Finite-State Transducer Library. In Proceedings of the 7th Annual AT&T Software Symposium, September 17-18, 1997. AT&T Labs, 1997.
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Sproat.
An Efficient Compiler for Weighted Rewrite Rules. In 34th Meeting of the Association for Computational Linguistics (ACL '96), Proceedings of the Conference, Santa Cruz, California. Santa Cruz, California, 1996.
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Pereira, and Michael Riley.
Rational Power Series in Text and Speech Processing. Graduate course, University of Pennsylvania, Department of Computer Science, Philadelphia, PA. 1996.
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Pereira, and Michael Riley.
Weighted Automata in Text and Speech Processing. In Proceedings of the 12th biennial European Conference on Artificial Intelligence (ECAI-96), Workshop on Extended finite state models of language. Budapest, Hungary, 1996. John Wiley and Sons, Chichester.
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On some Applications of Finite-State Automata Theory to Natural Language Processing. Journal of Natural Language Engineering, 2:1-20, 1996.
|
| [272] | Mehryar Mohri, Michael Riley, and
Richard Sproat.
Finite-State Transducers in Language and Speech Processing. In Tutorial at the 16th International Conference on Computational Linguistics (COLING-96). Copenhagen, Denmark, 1996. COLING.
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Matching Patterns of an Automaton. In Zvi Galil and Esko Ukkonen, editors, Proceedings of the 6th Annual Symposium on Combinatorial Pattern Matching (CPM '95). volume 937 of Lecture Notes in Computer Science, pages 286-297, Espoo, Finland, July 5-7 1995. Springer-Verlag, Berlin-NY.
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Mehryar Mohri.
Computation of French Temporal Expressions to Query Databases. In The First Workshop on the Applications of Natural language Processing to Databases. Versailles, France, 1995. FWANLPD.
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Review of les nouvelles syntaxes, grammaires d'unification et analyse du français by Anne Abeillé, 1993, Armand Colin, Paris, France. Lingvisticae Investigationes, 18(2):415-418, 1994.
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Minimization of Sequential Transducers. In Maxime Crochemore and Dan Gusfield, editors, Proceedings of the 5th Annual Symposium on Combinatorial Pattern Matching (CPM '94). volume 807 of Lecture Notes in Computer Science, pages 151-163, Asilomar, California, June 5-8 1994. Springer-Verlag, Berlin-NY.
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Combinaisons appropriées dans les constructions complétives. Langages, Larousse: Paris, 115, 1994.
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Mohri.
French Temporal Expressions: Recognition, Parsing and Real Computation. In Proceedings of the 10th Annual Conference of the UW Centre for the New Oxford English Dictionary and Text Research, Waterloo, Ontario, Canada. University of Waterloo, 1994.
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Reprise par une relative. In Proceedings of the International Conference Dépendance et intégration syntaxique, Bordeaux, France. Niemeyer, 1994.
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On some Applications of Finite-State Automata Theory to Natural Language Processing: Representation of Morphological Dictionaries, Compaction, and Indexation. Technical Report IGM 94-22, Institut Gaspard Monge, Noisy-le-Grand, 1994.
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Compact Representations by Finite-State Transducers. In 32nd Meeting of the Association for Computational Linguistics (ACL '94), Proceedings of the Conference, Las Cruces, New Mexico. pages 204-209, 1994.
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Syntactic Analysis by Local Grammars Automata: an Efficient Algorithm. In Proceedings of the International Conference on Computational Lexicography (COMPLEX 94). Linguistic Institute, Hungarian Academy of Science: Budapest, Hungary, 1994.
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| [283] | Mehryar Mohri.
Analyse et représentation par automates de structures syntaxiques composées: Application aux complétives (Thesis Abstract). Lingvisticae Investigationes, 17(2):431-432, 1993.
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| [284] | Mehryar Mohri.
Réduction de complétive à un nom et article défini générique. Lingvisticae Investigationes, 17(1):83-97, 1993.
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| [285] | Mehryar Mohri.
La coréférence et l'aspect. Lingvisticae Investigationes, 14(2):403-412, 1990.
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