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stochastic bandit

98 papers

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Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) online learning (1777) adversarial bandit (59) stochastic optimization (1060) online algorithm (445) linear bandit (124) upper confidence bound (197) ucb algorithm (44) sample complexity (1169)

Papers

Dynamic Balancing for Model Selection in Bandits and RL ICML 2021
Improved Analysis of the Tsallis-INF Algorithm in Stochastically Constrained Adversarial Bandits and Stochastic Bandits with Adversarial Corruptions COLT 2021
Asymptotically Optimal Information-Directed Sampling COLT 2021
Stochastic Bandits with Delay-Dependent Payoffs AISTATS 2020
Old Dog Learns New Tricks: Randomized UCB for Bandit Problems AISTATS 2020
Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality NIPS 2020
Finding All $\epsilon$-Good Arms in Stochastic Bandits NIPS 2020
Bandits with Adversarial Scaling ICML 2020
Optimal Best-arm Identification in Linear Bandits NIPS 2020
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation ICML 2020
Collaborative Exploration in Stochastic Multi-Player Bandits ACML 2020
Data Poisoning Attacks on Stochastic Bandits ICML 2019
Concentration of risk measures: A Wasserstein distance approach NIPS 2019
Batched Multi-armed Bandits Problem NIPS 2019
Problem-dependent Regret Bounds for Online Learning with Feedback Graphs UAI 2019
Perturbed-History Exploration in Stochastic Linear Bandits UAI 2019
Exploring $k$ out of Top $ρ$ Fraction of Arms in Stochastic Bandits AISTATS 2019
Categorized Bandits NIPS 2019
Personalizing Many Decisions with High-Dimensional Covariates NIPS 2019
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NIPS 2019
Adversarial Attacks on Stochastic Bandits NIPS 2018
Information Directed Sampling and Bandits with Heteroscedastic Noise COLT 2018
Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018
A General Approach to Multi-Armed Bandits Under Risk Criteria COLT 2018
Profile-Based Bandit with Unknown Profiles JMLR 2018