Technical Reports - Peter Bartlett

Analysis of Hidden Markov Models and Support Vector Machines in Financial Applications (EECS-2010-63)
Satish Rao and Jerry Hong

A Unifying View of Multiple Kernel Learning (EECS-2010-49)
Marius Kloft, Ulrich R├╝ckert and Peter Bartlett

Matrix regularization techniques for online multitask learning (EECS-2008-138)
Alekh Agarwal, Alexander Rakhlin and Peter Bartlett

Optimal Strategies and Minimax Lower Bounds for Online Convex Games (EECS-2008-19)
Jacob Duncan Abernethy, Peter Bartlett, Alexander Rakhlin and Ambuj Tewari

Closing the Gap between Bandit and Full-Information Online Optimization: High-Probability Regret Bound (EECS-2007-109)
Alexander Rakhlin, Ambuj Tewari and Peter Bartlett

Shifting: One-Inclusion Mistake Bounds and Sample Compression (EECS-2007-86)
Benjamin I. P. Rubinstein, Peter Bartlett and J. Hyam Rubinstein

Adaptive Online Gradient Descent (EECS-2007-82)
Peter Bartlett, Elad Hazan and Alexander Rakhlin

Multitask Learning with Expert Advice (EECS-2007-20)
Jacob Duncan Abernethy, Peter Bartlett and Alexander Rakhlin

Learning the Kernel Matrix with Semi-Definite Programming (CSD-02-1206)
Gert R. G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent El Ghaoui and Michael I. Jordan