conftrace_

cumulative regret

39 papers

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Co-occurring keywords

multi-armed bandit (1098) regret bound (1926) online learning (1777) bayesian optimization (624) contextual bandit (381) gaussian process (1200) upper confidence bound (197) simple regret (17) black-box function (31) stochastic bandit (98)

Papers

Cost-Aware Near-Optimal Policy Learning AAAI 2025
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
No-Regret Bandit Exploration based on Soft Tree Ensemble Model NIPS 2024
Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization AAAI 2024
Regret Analysis of Repeated Delegated Choice AAAI 2024
Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization NIPS 2023
Distributed Linear Bandits under Communication Constraints ICML 2023
Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023
Contextual Conservative Interleaving Bandits ICML 2023
Causal Bandits for Linear Structural Equation Models JMLR 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023
Linear Stochastic Bandits over a Bit-Constrained Channel L4DC 2023
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022
Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022
Gaussian Process Bandit Optimization with Few Batches AISTATS 2022
Smooth Bandit Optimization: Generalization to Holder Space AISTATS 2021
Bias-Robust Bayesian Optimization via Dueling Bandits ICML 2021
Collaborative Bayesian Optimization with Fair Regret ICML 2021
Q-learning with Logarithmic Regret AISTATS 2021
Budgeted and Non-Budgeted Causal Bandits AISTATS 2021
Bandits with many optimal arms NIPS 2021
Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020
Bayesian Optimization using Pseudo-Points IJCAI 2020