conftrace_
← Learning Types
Machine Learning › Learning Types ›

Multi-Armed Bandits

1,057 papers

Papers per year

5
27
87
38
'10
'15
'20
'25

Papers

SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays AISTATS 2024
Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
Learning Fair Division from Bandit Feedback AISTATS 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints AISTATS 2024
Sequential learning of the Pareto front for multi-objective bandits AISTATS 2024
Dissimilarity Bandits AISTATS 2024
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024
Contextual Bandits with Budgeted Information Reveal AISTATS 2024
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion AISTATS 2024
Think Before You Duel: Understanding Complexities of Preference Learning under Constrained Resources AISTATS 2024
Causal Bandits with General Causal Models and Interventions AISTATS 2024
Confounded Budgeted Causal Bandits CLEAR 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Efficient Sequential Decision Making with Large Language Models EMNLP 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024
Bandits with Concave Aggregated Reward IJCAI 2024
Strategic Aspects of Stable Matching Markets: A Survey IJCAI 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
Materials Discovery using Max K-Armed Bandit JMLR 2024
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024
A Survey on Multi-player Bandits JMLR 2024
Optimal Clustering with Bandit Feedback JMLR 2024