conftrace_

contextual bandit

381 papers

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Also known as

CB

Co-occurring keywords

regret bound (1926) online learning (1777) multi-armed bandit (1098) thompson sampling (237) upper confidence bound (197) online algorithm (445) off-policy evaluation (144) linear bandit (124) reinforcement learning (4352) recommendation system (294)

Papers

Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health AAAI 2024
PageRank Bandits for Link Prediction NIPS 2024
Oracle-Efficient Pessimism: Offline Policy Optimization In Contextual Bandits AISTATS 2024
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem AAAI 2024
Online learning in bandits with predicted context AISTATS 2024
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024
Generalized Linear Bandits with Limited Adaptivity NIPS 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
Open Problem: What is the Complexity of Joint Differential Privacy in Linear Contextual Bandits? COLT 2024
ADR-X: ANN-Assisted Wireless Link Rate Adaptation for Compute-Constrained Embedded Gaming Devices NSDI 2024
Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024
How Does Variance Shape the Regret in Contextual Bandits? NIPS 2024
Auto-BPA: An Enhanced Ball-Pivoting Algorithm With Adaptive Radius Using Contextual Bandits WACV 2024
Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework COLT 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NIPS 2024
Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024
Mixed-Effects Contextual Bandits AAAI 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024
Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024
Gaussian Process Bandits for Top-k Recommendations NIPS 2024
Expert with clustering: Hierarchical online preference learning framework L4DC 2024
Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models EMNLP 2024
Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024