Learning Theory: A Minimax Analysis, Mathematical and Computational Foundations of Learning Theory, Dagstuhl, Germany, Jul 2011; Mini-Workshop ``Mathematics of Learning Theory'', Oberwolfach, Germany, Aug 2011
Learning Theory: A Minimax Analysis, Mathematical and Computational Foundations of Learning Theory, Dagstuhl, Germany, Jul 2011; Mini-Workshop ``Mathematics of Learning Theory'', Oberwolfach, Germany, Aug 2011
Complexity-Based Approach to Calibration with Checking Rules, The Annual Conference on Learning Theory, July 2011.
From Statistical Learning to Game-Theoretic Learning, CMU Dept. of Statistics Seminar, Oct 2010; Sparse Statistics, Optimization and Machine Learning Workshop, Banff International Research Station, Jan 2011; Information Theory and Applications, David Blackwell's Legacy, Feb 2011; UChicago Booth Statistics and Econometrics Seminar, Apr 2011; Joint Statistical Meeting, Aug 2011
Online Learning: Random Averages, Combinatorial Parameters, and Learnability, European Meeting of Statisticians, Greece, Aug 2010.
Regularization Methods for Sequential Prediction, New England Statistics Symposium, Harvard, Apr 2010; Wharton-Stern Statistics Conference, May 2010.
Making Sequential Decisions under Limited Feedback, Allerton Conference on Communication, Control, and Computing, Oct 2009.
A Stochastic View of Optimal Regret through Minimax Duality , COLT, June 2009
Statistics meets Optimization: A new look at multi-armed bandits, Duke Statistics Seminar, April 2009
Stochastic View of Optimal Regret, UPenn Statistics Seminar, April 2009
Beating the Adaptive Bandit with High Probability, Info Theory and Applications, February 2009 [PDF]
Online Learning with Limited Feedback, UPenn CIS, September 2008 [PDF]
Statistics meets Optimization: A new look at the age-old multi-armed bandit problem, UPenn Stats, March 2008
Online Learning with Limited Feedback, MIT, March 2008
Adaptive Online Gradient Descent, NIPS, December 2007 [PDF]
Progress in Online Gradient Descent Methods, IBM Theory of Computation Seminar, November 2007
Multitask Learning with Expert Advice, COLT, June 2007
Stability and Consistency of Approximate Empirical Risk Minimization Algorithms, WNAR/IMS Conference, June 2006
Stability and Consistency of Approximate Empirical Risk Minimization Algorithms, International Workshop on Applied Probability, May 2006
Stability of Clustering Methods, NIPS 2005 Workshop: Theoretical Foundations of Clustering, December 2005
Some Applications of Empirical Process Theory in Statistical Learning, UC Berkeley CIS seminar, September 2005
Some Properties of Empirical Risk Minimization on Donsker Classes, The Fourth International Conference on High Dimensional Probability, June 2005
Stability Results in Learning Theory, TTI Seminar, April 2005
Risk Bounds for Mixture Density Estimation, TTI Seminar, March 2005