Mathematics of Machine Learning
Bandit Algorithms for Online Linear Optimization
Bayesian optimization and its applications for autonomous vehicles
Some Recent Bandit Results
Recommender Problems for Web Applications
Geometric Computing over Uncertain Data
Monte-Carlo Planning: Basic Principles and Recent Progress
Tradeoffs in online learning under partial information feedback
Foundations of Machine Learning
Presentation of Adobe Omniture, the Challenge, and announcement of the final results