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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

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NIPS 2024
Nature-Inspired Local Propagation NIPS 2024
When Is Inductive Inference Possible? NIPS 2024
Regret Analysis of Repeated Delegated Choice AAAI 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NIPS 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX AISTATS 2024
Molecule Design by Latent Prompt Transformer NIPS 2024
The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models AAAI 2024
Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation AAAI 2024
A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NIPS 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024
A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024
No Internal Regret with Non-convex Loss Functions AAAI 2024
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy COLT 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits AAAI 2024
Oracle-Efficient Hybrid Online Learning with Unknown Distribution COLT 2024
Apple Tasting: Combinatorial Dimensions and Minimax Rates COLT 2024
Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach NIPS 2024
Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality NIPS 2024
PRODuctive bandits: Importance Weighting No More NIPS 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Learning from Snapshots of Discrete and Continuous Data Streams NIPS 2024
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024