conftrace_

multi-armed bandit

1098 papers

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Also known as

MAB

Co-occurring keywords

regret bound (1926) online learning (1777) stochastic optimization (1060) thompson sampling (237) upper confidence bound (197) regret minimization (315) online algorithm (445) sample complexity (1169) contextual bandit (381) best arm identification (85)

Papers

A Closer Look at Small-loss Bounds for Bandits with Graph Feedback COLT 2020
Adaptive Learning of Rank-One Models for Efficient Pairwise Sequence Alignment NIPS 2020
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits NIPS 2020
Adaptive Double-Exploration Tradeoff for Outlier Detection AAAI 2020
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards NIPS 2020
Learning to Decode: Reinforcement Learning for Decoding of Sparse Graph-Based Channel Codes NIPS 2020
An Optimal Elimination Algorithm for Learning a Best Arm NIPS 2020
Budget-Constrained Bandits over General Cost and Reward Distributions AISTATS 2020
Thompson Sampling for Linearly Constrained Bandits AISTATS 2020
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting AAAI 2020
Observe Before Play: Multi-Armed Bandit with Pre-Observations AAAI 2020
On Adaptivity in Information-Constrained Online Learning AAAI 2020
Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020
Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek AAAI 2020
Improved Algorithms for Conservative Exploration in Bandits AAAI 2020
Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack AAAI 2020
Bounding Regret in Empirical Games AAAI 2020
Fiduciary Bandits ICML 2020
A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids AAAI 2020
Non-Stochastic Multi-Player Multi-Armed Bandits: Optimal Rate With Collision Information, Sublinear Without COLT 2020
Coordination without communication: optimal regret in two players multi-armed bandits COLT 2020
Gamification of Pure Exploration for Linear Bandits ICML 2020
Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020
Bandits with Adversarial Scaling ICML 2020
Bayesian Optimisation over Multiple Continuous and Categorical Inputs ICML 2020