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

Bandits with Ranking Feedback NIPS 2024

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024

RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation NIPS 2024

Real-Time Selection Under General Constraints via Predictive Inference NIPS 2024

Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model JMLR 2024

Stochastic contextual bandits with graph feedback: from independence number to MAS number NIPS 2024

Small steps no more: Global convergence of stochastic gradient bandits for arbitrary learning rates NIPS 2024

Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NIPS 2024

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024

Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NIPS 2024

Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NIPS 2024

On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024

Faster Recalibration of an Online Predictor via Approachability AISTATS 2024

Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents OSDI 2024

Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024

ODTrack: Online Dense Temporal Token Learning for Visual Tracking AAAI 2024

Disentangling Linear Quadratic Control with Untrusted ML Predictions NIPS 2024

BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment EMNLP 2024

Online Learning of Capacity-Based Preference Models IJCAI 2024

Learning-based rigid tube model predictive control L4DC 2024

MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024

On the Performance of Empirical Risk Minimization with Smoothed Data COLT 2024

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024

On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspective COLT 2024

Pre-trained Online Contrastive Learning for Insurance Fraud Detection AAAI 2024