online learning

1770 papers

Explore in graph

Also known as

OLO OL

Co-occurring keywords

regret bound (1918) multi-armed bandit (1091) stochastic optimization (1060) regret minimization (315) contextual bandit (379) reinforcement learning (4122) online algorithm (444) convex optimization (1320) adversarial learning (1592) continual learning (1164)

Papers

Inference Offloading for Cost-Sensitive Binary Classification at the Edge AAAI 2026

Online Conformal Selection with Accept-to-Reject Changes AAAI 2026

Budgeted Online Active Learning with Expert Advice and Episodic Priors AAAI 2026

Online Linear Regression with Paid Stochastic Features AAAI 2026

Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization AAAI 2026

OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models AAAI 2026

Cubing for Tuning AAAI 2026

Streaming Generated Gaussian Process Experts for Online Learning and Control AAAI 2026

A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses AAAI 2026

DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices AAAI 2026

Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding AAAI 2026

CoRE-Learning with Look-Ahead and Immediate Resource Allocation AAAI 2026

OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams AAAI 2026

Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution AAAI 2026

Align Video Diffusion Model with Online Video-Centric Preference Optimization WACV 2026

Continual Neural Topic Model EACL 2026

ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026

Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025

On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning ICML 2025

Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problems IJCAI 2025

BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025

Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning AAAI 2025

Online Learning of Coalition Structures by Selfish Agents AAAI 2025

Forecasting Competitions with Correlated Events AAAI 2025