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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

Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge AAAI 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries NIPS 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting NIPS 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning NIPS 2024
Online Learning of Capacity-Based Preference Models IJCAI 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NIPS 2024
Multiclass Transductive Online Learning NIPS 2024
Learning Equi-angular Representations for Online Continual Learning CVPR 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data NIPS 2024
On the Minimax Regret for Contextual Linear Bandits and Multi-Armed Bandits with Expert Advice NIPS 2024
MoML: Online Meta Adaptation for 3D Human Motion Prediction CVPR 2024
Online learning in bandits with predicted context AISTATS 2024
Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers NIPS 2024
RanDumb: Random Representations Outperform Online Continually Learned Representations NIPS 2024
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits NIPS 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024
Improved Regret for Bandit Convex Optimization with Delayed Feedback NIPS 2024
Online Learning of Delayed Choices 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
Online Relational Inference for Evolving Multi-agent Interacting Systems NIPS 2024
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games NIPS 2024
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood NIPS 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NIPS 2024
Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling NIPS 2024
JumpCoder: Go Beyond Autoregressive Coder via Online Modification ACL 2024