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thompson sampling

284 papers

TS

Papers

Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed COLT 2026 Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Mango: Multi-Agent Web Navigation via Global-View Optimization ACL 2026 MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization AAAI 2026 Neural Exploitation and Exploration of Contextual Bandits JMLR 2026 Optimism Stabilizes Thompson Sampling for Adaptive Inference COLT 2026 Sharp analysis of linear ensemble sampling COLT 2026 Sparse Nonparametric Contextual Bandits ALT 2026 Anytime Multi-Agent Path Finding with an Adaptive Delay-Based Heuristic AAAI 2025 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 Asymptotically Optimal Linear Best Feasible Arm Identification with Fixed Budget UAI 2025 Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers ACL 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? UAI 2025 Connecting Thompson Sampling and UCB: Towards More Efficient Trade-offs Between Privacy and Regret ICML 2025 Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits AAAI 2025 Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters ICML 2025 Dynamic Assortment Selection and Pricing with Censored Preference Feedback ICLR 2025 Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling ICLR 2025 Feasible Action Search for Bandit Linear Programs via Thompson Sampling ICML 2025 Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits ICLR 2025 KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems ICML 2025 Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning ICLR 2025 Learning to Instruct: Fine-Tuning a Task-Aware Instruction Optimizer for Black-Box LLMs EMNLP 2025 Minimum Empirical Divergence for Sub-Gaussian Linear Bandits AISTATS 2025 Monte-Carlo Tree Search with Uncertainty Propagation via Optimal Transport ICML 2025