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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

PRODuctive bandits: Importance Weighting No More NIPS 2024
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments NIPS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning AAAI 2024
Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024
Improved Analysis for Bandit Learning in Matching Markets NIPS 2024
Eliciting Kemeny Rankings AAAI 2024
Preference-based Pure Exploration NIPS 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting NIPS 2024
Contextual Bandits with Budgeted Information Reveal AISTATS 2024
Online learning in bandits with predicted context AISTATS 2024
Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability NIPS 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024
Sum-max Submodular Bandits AISTATS 2024
Strategic Aspects of Stable Matching Markets: A Survey IJCAI 2024
Multi-armed bandits with guaranteed revenue per arm AISTATS 2024
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication AISTATS 2024
A Survey on Multi-player Bandits JMLR 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Reciprocal Learning NIPS 2024
Online Learning of Delayed Choices NIPS 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024