bandits

A Complete Characterization of Learnability for Stochastic Noisy Bandits ALT 2025 Adaptive Sample Sharing for Multi Agent Linear Bandits ICML 2025 Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs COLT 2025 Constrained Pareto Set Identification with Bandit Feedback ICML 2025 EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration ICML 2025 On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback ICML 2025 Optimal Algorithm for Max-Min Fair Bandit ICML 2025 The Batch Complexity of Bandit Pure Exploration ICML 2025 Factored-Reward Bandits with Intermediate Observations ICML 2024 Federated Combinatorial Multi-Agent Multi-Armed Bandits ICML 2024 Foundations of Testing for Finite-Sample Causal Discovery ICML 2024 Stochastic Bandits with ReLU Neural Networks ICML 2024 From Bandits to Experts: On the Value of Side-Observations NeurIPS 2011