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Papers
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
ICML 2013
Prediction by random-walk perturbation
COLT 2013
Prior-free and prior-dependent regret bounds for Thompson Sampling
NeurIPS 2013
Reinforcement Learning in Robust Markov Decision Processes
NeurIPS 2013
Selective sampling algorithms for cost-sensitive multiclass prediction
ICML 2013
Sequential Bayesian Search
ICML 2013
Sequential Transfer in Multi-armed Bandit with Finite Set of Models
NeurIPS 2013
Sparsity Regret Bounds for Individual Sequences in Online Linear Regression
JMLR 2013
Stable Coactive Learning via Perturbation
ICML 2013
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses
COLT 2013
The Pareto Regret Frontier
NeurIPS 2013
The price of bandit information in multiclass online classification
COLT 2013
Thompson Sampling for Contextual Bandits with Linear Payoffs
ICML 2013
Two-Target Algorithms for Infinite-Armed Bandits with Bernoulli Rewards
NeurIPS 2013
An Active Learning Algorithm for Ranking from Pairwise Preferences with an Almost Optimal Query Complexity
JMLR 2012
Analysis of Thompson Sampling for the Multi-armed Bandit Problem
COLT 2012
Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit
AISTATS 2012
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence
NeurIPS 2012
Beyond Logarithmic Bounds in Online Learning
AISTATS 2012
Contextual Bandit Learning with Predictable Rewards
AISTATS 2012
Differentially Private Online Learning
COLT 2012
Distributed Non-Stochastic Experts
NeurIPS 2012
Efficient Reinforcement Learning for High Dimensional Linear Quadratic Systems
NeurIPS 2012
Hierarchical Optimistic Region Selection driven by Curiosity
NeurIPS 2012
Imitation Learning by Coaching
NeurIPS 2012