← Learning Types
Machine Learning › Learning Types ›

Online Learning

1012 directly classified papers

Papers per year

Papers

How Does Variance Shape the Regret in Contextual Bandits? NIPS 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024
Online Learning with Sublinear Best-Action Queries NIPS 2024
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment JMLR 2024
Improved Analysis for Bandit Learning in Matching Markets NIPS 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX AISTATS 2024
Learning to Price Homogeneous Data NIPS 2024
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts JMLR 2024
Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NIPS 2024
Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023
No-Regret Learning in Two-Echelon Supply Chain with Unknown Demand Distribution AISTATS 2023
Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023
Doubly Fair Dynamic Pricing AISTATS 2023
Learning While Scheduling in Multi-Server Systems With Unknown Statistics: MaxWeight with Discounted UCB AISTATS 2023
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023
A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023
Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection JMLR 2023
Online Linearized LASSO AISTATS 2023
Revisiting Simple Regret: Fast Rates for Returning a Good Arm ICML 2023
Fast Online Node Labeling for Very Large Graphs ICML 2023
Adaptation to the Range in K-Armed Bandits JMLR 2023
On Universal Portfolios with Continuous Side Information AISTATS 2023
Graph-Aided Online Multi-Kernel Learning JMLR 2023
Online Change-Point Detection in High-Dimensional Covariance Structure with Application to Dynamic Networks JMLR 2023