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online learning

1770 papers

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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

Forecasting Competitions with Correlated Events AAAI 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025
A Unified Analysis of Nonstochastic Delayed Feedback for Combinatorial Semi-Bandits, Linear Bandits, and MDPs JMLR 2025
Adaptive Market Making with Inventory Constraints via Online Learning AAAI 2025
Revisiting Projection-Free Online Learning with Time-Varying Constraints AAAI 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025
Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025
Deep Graph Online Hashing for Multi-Label Image Retrieval AAAI 2025
Mixture of Online and Offline Experts for Non-Stationary Time Series AAAI 2025
Asynchronous Distributed Gaussian Process Regression AAAI 2025
Online Resource Sharing: Better Robust Guarantees via Randomized Strategies IJCAI 2025
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025
Label Shift Meets Online Learning: Ensuring Consistent Adaptation with Universal Dynamic Regret CVPR 2025
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
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning CVPR 2024
Online Relational Inference for Evolving Multi-agent Interacting Systems NIPS 2024
Online Distribution Learning with Local Privacy Constraints AISTATS 2024
Unsupervised Online Continual Learning for Automatic Speech Recognition INTERSPEECH 2024
When Is Inductive Inference Possible? NIPS 2024
Continuous Prediction with Experts' Advice JMLR 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NIPS 2024
LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach NIPS 2024
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NIPS 2024