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Online Algorithms

803 directly classified papers

Papers per year

Papers

Online Corrupted User Detection and Regret Minimization NIPS 2023
Practical Contextual Bandits with Feedback Graphs NIPS 2023
No-Regret Online Prediction with Strategic Experts NIPS 2023
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling NIPS 2023
Bandits with costly reward observations UAI 2023
Optimal Rates for Bandit Nonstochastic Control NIPS 2023
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization NIPS 2023
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023
Online Semi-supervised Learning with Mix-Typed Streaming Features AAAI 2023
Treepiece: Faster Semantic Parsing via Tree Tokenization EMNLP 2023
Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets ICML 2023
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? UAI 2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model ICML 2023
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits IJCAI 2023
Online learning of long-range dependencies NIPS 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits ICML 2023
Fast Online Node Labeling for Very Large Graphs ICML 2023
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm ICML 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits ICML 2023
Bypassing the Simulator: Near-Optimal Adversarial Linear Contextual Bandits NIPS 2023
Multiplier Bootstrap-based Exploration ICML 2023
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits ICML 2023
Streaming Active Learning with Deep Neural Networks ICML 2023
Pareto Regret Analyses in Multi-objective Multi-armed Bandit ICML 2023
Learning to Boost Training by Periodic Nowcasting Near Future Weights ICML 2023