cumulative regret

Federated Combinatorial Causal Bandits with Heterogeneous Causal Influences UAI 2026 Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization JMLR 2025 Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning ACML 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? UAI 2025 Black-box Optimization with Unknown Constraints via Overparameterized Deep Neural Networks UAI 2025 Cost-Aware Near-Optimal Policy Learning AAAI 2025 Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts ICLR 2025 Adaptively Learning to Select-Rank in Online Platforms ICML 2024 Communication-Efficient Federated Non-Linear Bandit Optimization ICLR 2024 Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization AAAI 2024 No-Regret Bandit Exploration based on Soft Tree Ensemble Model NeurIPS 2024 Principled Preferential Bayesian Optimization ICML 2024 Regret Analysis of Repeated Delegated Choice AAAI 2024 Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation AAAI 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024 A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023 Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023 Causal Bandits for Linear Structural Equation Models JMLR 2023 Constrained Efficient Global Optimization of Expensive Black-box Functions ICML 2023 Contextual Conservative Interleaving Bandits ICML 2023 Distributed Linear Bandits under Communication Constraints ICML 2023 Linear Stochastic Bandits over a Bit-Constrained Channel L4DC 2023 Model-based Causal Bayesian Optimization ICLR 2023 Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization NeurIPS 2023 A causal bandit approach to learning good atomic interventions in presence of unobserved confounders UAI 2022