Colloquium Spring 2021

Past Events

• APR 8
  11AM, Online
  Towards Safe and Efficient Learning and Control for Physical Human Robot Interaction
  Nadia Figueroa, MIT
• APR 5
  12PM, Online
  The Power Of Lattice-Based Cryptography: Advanced Functionality and Post-Quantum Security
  Rishab Goyal, MIT
• APR 1
  10AM, Online
  Probabilistic proofs: theory, hardware, and everything in between
  Riad S. Wahby, Stanford University
• MAR 31
  12PM, Online
  Learning & Decision-Making in Societal Systems: Theory, Algorithms, and Design
  Eric Mazumdar, University of California, Berkeley
• MAR 30
  11:30AM, Online
  Algorithms and Barriers for Fast Matrix Multiplication
  Josh Alman, Harvard University
• MAR 29
  9AM, Online
  Eliminating bugs in real systems
  Fraser Brown, Stanford University
• MAR 26
  9AM, Online
  Integrating machine learning into algorithm design
  Ellen Vitercik, Carnegie Mellon University
• MAR 25
  10AM, Online
  How to Do Cryptography Even When Cryptography Doesn't Exist
  Marshall Ball, University of Washington
• MAR 24
  11AM, Online
  Learning and Control for Interactions in Mixed Human-Robot Environments
  Wilko Schwarting, MIT
• MAR 23
  9AM, Online
  Structural Foundations of Efficient Reinforcement Learning
  Alekh Agarwal, Microsoft Research Redmond
• MAR 22
  11AM, Online
  Learning General Language Processing Agents
  Dani Yogatama, DeepMind
• MAR 18
  11AM, Online
  Learning through Interaction in Cooperative Multi-Agent Systems
  Kalesha Bullard, Facebook AI Research
• MAR 16
  11:30AM, Online
  Data Structures and Algorithms in Sublinear Computation
  Huacheng Yu, Princeton University
• MAR 15
  12PM, Online
  Fusion for Robot Perception and Controls
  Michelle Lee, Stanford University
• MAR 11
  12:30PM, Online
  The Societal Impacts of Algorithmic Decision-Making
  Manish Raghavan, Cornell University
• MAR 11
  10AM, Online
  Algorithms for Markets: Matching Under Uncertainty
  Mahsa Derakhshan, University of Maryland
• MAR 10
  11AM, Online
  The Generalizability and Interpretability of Neural Language Models
  Urvashi Khandelwal, Stanford University
• MAR 9
  12PM, Online
  Sublinear Algorithms for Massive Datasets
  Erik Waingarten, Stanford University
• MAR 8
  11AM, Online
  Reliable Machine Learning in Feedback Systems
  Sarah Dean, University of California, Berkeley
• MAR 3
  11:30AM, Online
  Understanding Human-Centric Sides of Deep AI Models
  Bolei Zhou, Chinese University of Hong Kong
• MAR 1
  9AM, Online
  Steps towards making machine learning more natural
  Mengye Ren, University of Toronto
• FEB 24
  12PM, Online
  Advancements and Challenges for Deep Learning in Medical Imaging
  Pranav Rajpurkar, Stanford University