Technical Reports - 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
