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conftrace_

multi-armed bandit

1,217 papers

MABS MAB

Papers

A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids AAAI 2020 An Optimal Algorithm for Adversarial Bandits with Arbitrary Delays AISTATS 2020 An Optimal Elimination Algorithm for Learning a Best Arm NeurIPS 2020 A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players AISTATS 2020 A PTAS for the Bayesian Thresholding Bandit Problem AISTATS 2020 A single algorithm for both restless and rested rotting bandits AISTATS 2020 Bandit Algorithms Based on Thompson Sampling for Bounded Reward Distributions ALT 2020 BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits NeurIPS 2020 Bandits for BMO Functions ICML 2020 Bandits with Adversarial Scaling ICML 2020 Batched Coarse Ranking in Multi-Armed Bandits NeurIPS 2020 Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020 Bayesian Optimization for Categorical and Category-Specific Continuous Inputs AAAI 2020 Best Arm Identification for Cascading Bandits in the Fixed Confidence Setting ICML 2020 Best Arm Identification in Spectral Bandits IJCAI 2020 Bounded Rationality in Las Vegas: Probabilistic Finite Automata Play Multi-Armed Bandits UAI 2020 Bounding Regret in Empirical Games AAAI 2020 Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020 Budgeted Online Influence Maximization ICML 2020 Chaos, Extremism and Optimism: Volume Analysis of Learning in Games NeurIPS 2020 Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints IJCAI 2020 Comparator-Adaptive Convex Bandits NeurIPS 2020 Competing Bandits in Matching Markets AISTATS 2020 Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020 Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization AISTATS 2020