thompson sampling

Multi-Objective Neural Bandits with Random Scalarization IJCAI 2025 Neural Dueling Bandits: Preference-Based Optimization with Human Feedback ICLR 2025 Optimizing Posterior Samples for Bayesian Optimization via Rootfinding ICLR 2025 Planning and Learning in Risk-Aware Restless Multi-Arm Bandits AISTATS 2025 qPOTS: Efficient Batch Multiobjective Bayesian Optimization via Pareto Optimal Thompson Sampling AISTATS 2025 Thompson Sampling for Bandit Convex Optimisation COLT 2025 When and why randomised exploration works (in linear bandits) ALT 2025 Zero-Inflated Bandits ICML 2025 VITS : Variational Inference Thompson Sampling for contextual bandits ICML 2024 A Bayesian Approach to Online Planning ICML 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 Bootstrap Your Conversions: Thompson Sampling for Partially Observable Delayed Rewards UAI 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ICLR 2024 Cost-efficient Knowledge-based Question Answering with Large Language Models NeurIPS 2024 Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024 Efficient Exploration for LLMs ICML 2024 EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning ACML 2024 Exploration via linearly perturbed loss minimisation AISTATS 2024 Feel-Good Thompson Sampling for Contextual Dueling Bandits ICML 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NeurIPS 2024 Improving sample efficiency of high dimensional Bayesian optimization with MCMC L4DC 2024