Reinforcement Learning
Toward the understanding of partial-monitoring games
Some Recent Bandit Results
Learning with similarity functions
HPC Python Programming (Part 1)
Monte-Carlo Planning: Basic Principles and Recent Progress
Modeling Social and Information Networks: Opportunities for Machine Learning
Bounding the Gaussian Process Information Gain: Applications to PAC-Bayes and GP Bandit Optimization
From kernels to causal inference
PAC-Bayes Analysis: Links to Luckiness and Applications