multi-armed bandit

Thresholding Graph Bandits with GrAPL AISTATS 2020 Tight Lower Bounds for Combinatorial Multi-Armed Bandits COLT 2020 Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020 Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits COLT 2020 Unreasonable Effectiveness of Greedy Algorithms in Multi-Armed Bandit with Many Arms NeurIPS 2020 X-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks ACML 2019 A Bandit Approach to Maximum Inner Product Search AAAI 2019 Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information COLT 2019 Active Exploration in Markov Decision Processes AISTATS 2019 ActiveHNE: Active Heterogeneous Network Embedding IJCAI 2019 Adaptive Ensemble Active Learning for Drifting Data Stream Mining IJCAI 2019 Adaptively Tracking the Best Bandit Arm with an Unknown Number of Distribution Changes COLT 2019 Adaptive Monte Carlo Multiple Testing via Multi-Armed Bandits ICML 2019 Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning IJCAI 2019 An Information-Theoretic Approach to Minimax Regret in Partial Monitoring COLT 2019 An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019 Approximations of the Restless Bandit Problem JMLR 2019 Are sample means in multi-armed bandits positively or negatively biased? NeurIPS 2019 AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning NAACL 2019 Bandit Online Learning with Unknown Delays AISTATS 2019 Bandits with Feedback Graphs and Switching Costs NeurIPS 2019 Batched Multi-armed Bandits Problem NeurIPS 2019 Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously ICML 2019 Best Arm Identification for Contaminated Bandits JMLR 2019 Better Algorithms for Stochastic Bandits with Adversarial Corruptions COLT 2019