Machine Learning Ph.D. Seminar

Machine Learning Ph.D. Seminar

2007-2008 Schedule

September 4th, 2007 - Mehryar Mohri
Introduction to Rademacher Complexity (Part I)
Slides
September 11th, 2007 - Mehryar Mohri
Introduction to Rademacher Complexity (Part II)
Slides
September 18th, 2007 - No seminar
September 25th, 2007 - Ashish Rastogi
Title: McDiarmid's Inequality and its Applications
Abstract Slides
October 2nd, 2007 - Eugene Weinstein
Discussion: Search-based Structured Prediction, by Hal Daume, John Langford, and Daniel Marcu (submitted to Machine Learning)
Slides
October 9th, 2007 - Afshin Rostamizadeh
Discussion: Learning the Kernel Matrix with Semidefinite Programming, Lanckriet et al. (JMLR 2004)
Slides
October 16th, 2007 - Cyril Allauzen
Discussion: On Optimal Learning Algorithms for Multiplicity Automata, L. Bisht, N. Bshouty and H. Mazzawi (COLT 2006)
Slides
October 23rd, 2007 - No seminar
October 30th, 2007 - Ameet Talwalkar
Discussion: On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning, Petros Drineas and Michael Mahoney (JMLR 2005).
Slides
November 6th, 2007 - Yishay Mansour
Reinforcement Learning, Part 1
Abstract   Slides   Class Notes
November 13th, 2007 - Yishay Mansour
Reinforcement Learning, Part 2
Abstract
November 20th, 2007 - No seminar
November 27th, 2007 - Afshin Rostamizadeh
Stability Bounds for Non-i.i.d. Processes
Paper Link
December 4th, 2007 - No seminar
December 11th, 2007 (NOTE ROOM CHANGE: WWH 1013) - Boulos Harb
Sampling Algorithms for Lp Regression and an Application to Feature Selection
Paper Links: Sampling Algorithms and Coresets for Lp Regression (SODA 2008), Feature Selection Methods for Text Classification (KDD 2007)
January 22nd, 2008 - Ameet Talwalkar
Title: Large-Scale Manifold Learning
Abstract
January 29th, 2008 - No seminar
Feburary 5th, 2008 - Afshin Rostamizadeh
Discussion: Learning Bounds for Domain Adaptation, Blitzer et al. (NIPS 2007)
Slides
February 12th, 2008 - Subhash Khot
Title: Hardness Results for Some Learning Problems
Abstract
February 19th, 2008 - Eugene Weinstein
Discussion: Discriminative Log-Linear Grammars with Latent Variables, Petrov and Klein (NIPS 2007)
Slides
February 26th, 2008 - Ashish Rastogi
Discussion: FilterBoost: Regression and Classification on Large Datasets, Bradley and Schapire (NIPS 2007)
Slides
March 4th, 2008 - no seminar
March 11th, 2008 - Rob Fergus
Title: Large image databases and small codes for object recognition
Abstract
Slides
March 18th, 2008 - Spring Break, no seminar
March 25th, 2008 - Sanjoy Dasgupta
Title: Random projection trees and low dimensional manifolds
Abstract
April 1st, 2008 - Afshin Rostamizadeh
Discussion: A Conditional Random Field for Discriminatively-trained Finite-state String Edit Distance and An Introduction to Conditional Random Fields for Relational Learning
April 8th, 2008 - Ameet Talwalkar
Discussion: Dimension Reduction Using Stable Random Projections
April 15th, 2008 - Risi Kondor
The skew spectrum of graphs --- a new class of graph invariants
Abstract
Slides
April 22nd, 2008 - Eugene Weinstein
Discussion: Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition (Kuo, Kingsbury, Zweig, ICASSP 2007)
Slides
April 30th, 2008 - Ashish Rastogi
Special session: thesis defense

Details

  • Location: Warren Weaver Hall (251 Mercer Street), Room 1314
  • Time: Tuesdays 1:45-3:45pm
  • Please subscribe to the mailing list for the seminar.
  • Please send a PDF version of your slides to Eugene Weinstein before your presentation.
  • The old page for this seminar is here