Multi-Armed Bandits

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 Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024 Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 Contracting with a Learning Agent NeurIPS 2024 Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits AAAI 2024 Decentralized Two-Sided Bandit Learning in Matching Market UAI 2024 Directional Optimism for Safe Linear Bandits AISTATS 2024 Dissimilarity Bandits AISTATS 2024 Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments NeurIPS 2024 Efficient LLM Scheduling by Learning to Rank NeurIPS 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Eliciting Kemeny Rankings AAAI 2024 Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024 Exploration via linearly perturbed loss minimisation AISTATS 2024 Fairness and Privacy Guarantees in Federated Contextual Bandits ACML 2024 Fast Proxy Experiment Design for Causal Effect Identification NeurIPS 2024 Fast Rates for Bandit PAC Multiclass Classification NeurIPS 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024