conftrace_

regret bound

1926 papers

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RB

Co-occurring keywords

online learning (1777) multi-armed bandit (1098) contextual bandit (381) stochastic optimization (1060) reinforcement learning (4352) online algorithm (445) upper confidence bound (197) markov decision process (790) thompson sampling (237) online convex optimization (165)

Papers

An Information-Theoretic Framework for Deep Learning NIPS 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NIPS 2022
Hierarchical Bayesian Bandits AISTATS 2022
Provably Efficient Model-Free Constrained RL with Linear Function Approximation NIPS 2022
Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NIPS 2022
On the Expressivity of Markov Reward (Extended Abstract) IJCAI 2022
Nonstochastic Bandits with Composite Anonymous Feedback JMLR 2022
A Bandit Model for Human-Machine Decision Making with Private Information and Opacity AISTATS 2022
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022
Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022
Online Mirror Descent and Dual Averaging: Keeping Pace in the Dynamic Case JMLR 2022
Pareto Optimal Model Selection in Linear Bandits AISTATS 2022
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022
Top K Ranking for Multi-Armed Bandit with Noisy Evaluations AISTATS 2022
Metalearning Linear Bandits by Prior Update AISTATS 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NIPS 2022
Adaptive Bandit Convex Optimization with Heterogeneous Curvature COLT 2022
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022
Towards Optimal Algorithms for Multi-Player Bandits without Collision Sensing Information COLT 2022
Encrypted Linear Contextual Bandit AISTATS 2022
Complete Policy Regret Bounds for Tallying Bandits COLT 2022
Nonstochastic Bandits and Experts with Arm-Dependent Delays AISTATS 2022
Tracking Most Significant Arm Switches in Bandits COLT 2022
Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems AISTATS 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach ICML 2022