multi-armed bandit

Online Learning to Rank with Top-k Feedback JMLR 2017 Optimal Posted-Price Mechanism in Microtask Crowdsourcing IJCAI 2017 Position-based Multiple-play Bandit Problem with Unknown Position Bias NeurIPS 2017 Real-Time Bidding with Side Information NeurIPS 2017 Rotting Bandits NeurIPS 2017 Sparse Stochastic Bandits COLT 2017 Stochastic Rank-1 Bandits AISTATS 2017 The End of Optimism? An Asymptotic Analysis of Finite-Armed Linear Bandits AISTATS 2017 The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime COLT 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017 Transfer Learning in Multi-Armed Bandits: A Causal Approach IJCAI 2017 A Bandit Framework for Strategic Regression NeurIPS 2016 Adaptive Concentration Inequalities for Sequential Decision Problems NeurIPS 2016 An Information-Theoretic Analysis of Thompson Sampling JMLR 2016 An optimal algorithm for the Thresholding Bandit Problem ICML 2016 Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016 Anytime optimal algorithms in stochastic multi-armed bandits ICML 2016 Best-of-K-bandits COLT 2016 BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits ICML 2016 Causal Bandits: Learning Good Interventions via Causal Inference NeurIPS 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016 Combinatorial Multi-Armed Bandit with General Reward Functions NeurIPS 2016 Combinatorial semi-bandit with known covariance NeurIPS 2016 Conservative Bandits ICML 2016