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10/12/2020
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
We consider the adversarial multi-armed bandit problem under delayed fee...
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02/08/2020
Provably Efficient Adaptive Approximate Policy Iteration
Model-free reinforcement learning algorithms combined with value functio...
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09/08/2017
A Modular Analysis of Adaptive (Non-)Convex Optimization: Optimism, Composite Objectives, and Variational Bounds
Recently, much work has been done on extending the scope of online learn...
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06/30/2015
Fast Cross-Validation for Incremental Learning
Cross-validation (CV) is one of the main tools for performance estimatio...
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06/04/2013