multi-armed bandit

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits AAAI 2024 Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024 Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit ICLR 2024 Continuous Prediction with Experts' Advice JMLR 2024 Convergence to Nash Equilibrium and No-regret Guarantee in (Markov) Potential Games AISTATS 2024 Cost-efficient Knowledge-based Question Answering with Large Language Models NeurIPS 2024 CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption ALT 2024 Decentralized Two-Sided Bandit Learning in Matching Market UAI 2024 Directional Optimism for Safe Linear Bandits AISTATS 2024 Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NeurIPS 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NeurIPS 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Eliciting Kemeny Rankings AAAI 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Federated X-armed Bandit AAAI 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024 Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs AAAI 2024 Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AISTATS 2024 Fixed Confidence Best Arm Identification in the Bayesian Setting NeurIPS 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 Forced Exploration in Bandit Problems AAAI 2024 Gaussian Process Bandits for Top-k Recommendations NeurIPS 2024 Graph Feedback Bandits with Similar Arms UAI 2024 Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits AAAI 2024