conftrace_

upper confidence bound

197 papers

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Also known as

UCB

Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) online learning (1777) contextual bandit (381) bayesian optimization (624) gaussian process (1200) thompson sampling (237) reinforcement learning (4352) stochastic optimization (1060) ucb algorithm (44)

Papers

Communication-Constrained Bandits under Additive Gaussian Noise ICML 2023
Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards NIPS 2023
Bandit Task Assignment with Unknown Processing Time NIPS 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds ICML 2023
Monte Carlo Tree Search with Boltzmann Exploration NIPS 2023
Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments NIPS 2023
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023
Optimistic Whittle Index Policy: Online Learning for Restless Bandits AAAI 2023
Combinatorial Neural Bandits ICML 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023
Bayesian Optimization with Cost-varying Variable Subsets NIPS 2023
Are Random Decompositions all we need in High Dimensional Bayesian Optimisation? ICML 2023
Regret Bounds for Markov Decision Processes with Recursive Optimized Certainty Equivalents ICML 2023
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB AISTATS 2023
Risk-aware linear bandits with convex loss AISTATS 2023
Finite-Time Logarithmic Bayes Regret Upper Bounds NIPS 2023
Learning to Rank under Multinomial Logit Choice JMLR 2023
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NIPS 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits ICML 2023
Maximum Average Randomly Sampled: A Scale Free and Non-parametric Algorithm for Stochastic Bandits NIPS 2023
Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022
KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints JMLR 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022
Weighted Gaussian Process Bandits for Non-stationary Environments AISTATS 2022