online learning

Interpolating Item and User Fairness in Multi-Sided Recommendations NeurIPS 2024 In-Trajectory Inverse Reinforcement Learning: Learn Incrementally Before an Ongoing Trajectory Terminates NeurIPS 2024 JumpCoder: Go Beyond Autoregressive Coder via Online Modification ACL 2024 Jump Starting Bandits with LLM-Generated Prior Knowledge EMNLP 2024 Kalman Filter for Online Classification of Non-Stationary Data ICLR 2024 Learning-Based Algorithms for Graph Searching Problems AISTATS 2024 Learning-based rigid tube model predictive control L4DC 2024 Learning Equi-angular Representations for Online Continual Learning CVPR 2024 Learning from One Continuous Video Stream CVPR 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Learning in Online Principal-Agent Interactions: The Power of Menus AAAI 2024 Learning No-Regret Sparse Generalized Linear Models with Varying Observation(s) ICLR 2024 Learning Optimal Contracts: How to Exploit Small Action Spaces ICLR 2024 Learning Thresholds with Latent Values and Censored Feedback ICLR 2024 Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality NeurIPS 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ICLR 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NeurIPS 2024 Locality Sensitive Sparse Encoding for Learning World Models Online ICLR 2024 Localized Adaptive Risk Control NeurIPS 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Maximizing utility in multi-agent environments by anticipating the behavior of other learners NeurIPS 2024 MetaCURL: Non-stationary Concave Utility Reinforcement Learning NeurIPS 2024 Mode Estimation with Partial Feedback COLT 2024