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Online Learning

1012 directly classified papers

Papers per year

Papers

Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025
Online Learning of Coalition Structures by Selfish Agents AAAI 2025
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning ICCV 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
KSK@DravidianLangTech 2025: Political Multiclass Sentiment Analysis of Tamil X (Twitter) Comments Using Incremental Learning NAACL 2025
Contextual Bandits with Stage-wise Constraints JMLR 2025
Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025
LONG3R: Long Sequence Streaming 3D Reconstruction ICCV 2025
RecStream: Graph-aware Stream Management for Concurrent Recommendation Model Online Serving COLING 2025
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024
Regret Analysis of Repeated Delegated Choice AAAI 2024
Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024
Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024
The Power of Resets in Online Reinforcement Learning NIPS 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds NIPS 2024
Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents OSDI 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss NIPS 2024
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
Localized Adaptive Risk Control NIPS 2024
Mixed-Effects Contextual Bandits AAAI 2024
Strategic Usage in a Multi-Learner Setting AISTATS 2024