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Multi-Armed Bandits

1,057 papers

Papers per year

5
27
87
38
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Papers

Top Two Algorithms Revisited NIPS 2022
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine NIPS 2022
DeepTOP: Deep Threshold-Optimal Policy for MDPs and RMABs NIPS 2022
An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem NIPS 2022
Minimax Regret for Cascading Bandits NIPS 2022
Tsetlin Machine for Solving Contextual Bandit Problems NIPS 2022
Conformal Off-Policy Prediction in Contextual Bandits NIPS 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NIPS 2022
Single-pass Streaming Lower Bounds for Multi-armed Bandits Exploration with Instance-sensitive Sample Complexity NIPS 2022
A Simple and Optimal Policy Design for Online Learning with Safety against Heavy-tailed Risk NIPS 2022
Graph Neural Network Bandits NIPS 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions NIPS 2022
A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs NIPS 2022
Contextual Bandits with Knapsacks for a Conversion Model NIPS 2022
Incentivizing Combinatorial Bandit Exploration NIPS 2022
Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits NIPS 2022
MuMu: Cooperative Multitask Learning-Based Guided Multimodal Fusion AAAI 2022
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback AAAI 2022
Real-Time Driver-Request Assignment in Ridesourcing AAAI 2022
Modeling Attrition in Recommender Systems with Departing Bandits AAAI 2022
A Unifying Theory of Thompson Sampling for Continuous Risk-Averse Bandits AAAI 2022
Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model AAAI 2022
An Online Learning Approach to Sequential User-Centric Selection Problems AAAI 2022
Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022
Online Certification of Preference-Based Fairness for Personalized Recommender Systems AAAI 2022