multi-armed bandit

Robustness Guarantees for Mode Estimation with an Application to Bandits AAAI 2021 Selective Sampling for Online Best-arm Identification NeurIPS 2021 Simple combinatorial algorithms for combinatorial bandits: corruptions and approximations UAI 2021 Stochastic bandits with groups of similar arms. NeurIPS 2021 Stochastic Bandits with Linear Constraints AISTATS 2021 Stochastic Multi-Armed Bandits with Control Variates NeurIPS 2021 Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021 The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle NeurIPS 2021 Thompson Sampling for Bandits with Clustered Arms IJCAI 2021 Training a Single Bandit Arm AISTATS 2021 Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits JMLR 2021 Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL NeurIPS 2021 UCB-based Algorithms for Multinomial Logistic Regression Bandits NeurIPS 2021 Understanding Bandits with Graph Feedback NeurIPS 2021 Unifying Clustered and Non-stationary Bandits AISTATS 2021 Variance-dependent best arm identification UAI 2021 Variational Bayesian Optimistic Sampling NeurIPS 2021 A Bandit Learning Algorithm and Applications to Auction Design NeurIPS 2020 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem AAAI 2020 A Closer Look at Small-loss Bounds for Bandits with Graph Feedback COLT 2020 Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020 Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment NeurIPS 2020 Adversarial Blocking Bandits NeurIPS 2020 A Farewell to Arms: Sequential Reward Maximization on a Budget with a Giving Up Option AISTATS 2020 Agbots 2.0: Weeding Denser Fields with Fewer Robots RSS 2020