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Multi-Armed Bandits

1044 directly classified papers

Papers per year

Papers

Stochastic Multi-Armed Bandits with Unrestricted Delay Distributions ICML 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021
Sparsity-Agnostic Lasso Bandit ICML 2021
Leveraging Good Representations in Linear Contextual Bandits ICML 2021
Best Arm Identification in Graphical Bilinear Bandits ICML 2021
Adversarial Dueling Bandits ICML 2021
Dueling Convex Optimization ICML 2021
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization ICML 2021
Top-k eXtreme Contextual Bandits with Arm Hierarchy ICML 2021
Collaborative Bayesian Optimization with Fair Regret ICML 2021
Dynamic Planning and Learning under Recovering Rewards ICML 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021
Approximation Theory Based Methods for RKHS Bandits ICML 2021
Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021
Fairness of Exposure in Stochastic Bandits ICML 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021
Human-AI Collaboration with Bandit Feedback IJCAI 2021
Epsilon Best Arm Identification in Spectral Bandits IJCAI 2021
Mean Field Equilibrium in Multi-Armed Bandit Game with Continuous Reward IJCAI 2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021
AI for Planning Public Health Interventions IJCAI 2021
AutoBandit: A Meta Bandit Online Learning System IJCAI 2021
Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021
Wasserstein Selective Transfer Learning for Cross-domain Text Mining EMNLP 2021