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online learning

1770 papers

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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

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
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025
ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams CVPR 2025
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial AAAI 2025
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions IJCAI 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning ICML 2025
Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring Market with Symmetric Agents AAAI 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025
Offline-to-Online Hyperparameter Transfer for Stochastic Bandits AAAI 2025
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025
LexTempus: Enhancing Temporal Generalizability of Legal Language Models Through Dynamic Mixture of Experts ACL 2025
CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning EMNLP 2025
Test-Time Training on Video Streams JMLR 2025
Online Generic Event Boundary Detection ICCV 2025
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning ICCV 2025
Online Learning Defense against Iterative Jailbreak Attacks via Prompt Optimization AACL 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025
Mixture of Online and Offline Experts for Non-Stationary Time Series AAAI 2025
Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach AAAI 2025
Active Geospatial Search for Efficient Tenant Eviction Outreach AAAI 2025
ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction WACV 2025
Iterated Belief Change as Learning IJCAI 2025