Online Learning

Generator Assisted Mixture of Experts for Feature Acquisition in Batch AAAI 2024 Gradient-Variation Online Learning under Generalized Smoothness NeurIPS 2024 Graph Feedback Bandits with Similar Arms UAI 2024 Group-wise oracle-efficient algorithms for online multi-group learning NeurIPS 2024 Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation AAAI 2024 How Does Variance Shape the Regret in Contextual Bandits? NeurIPS 2024 Improved Analysis for Bandit Learning in Matching Markets NeurIPS 2024 Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning ICLR 2024 Information Capacity Regret Bounds for Bandits with Mediator Feedback JMLR 2024 Informative Path Planning with Limited Adaptivity AISTATS 2024 Initializing Services in Interactive ML Systems for Diverse Users NeurIPS 2024 Last-iterate Convergence Separation between Extra-gradient and Optimism in Constrained Periodic Games UAI 2024 Learning-Augmented Algorithms with Explicit Predictors NeurIPS 2024 Learning-Augmented Dynamic Submodular Maximization NeurIPS 2024 Learning-Based Algorithms for Graph Searching Problems AISTATS 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Learning Optimal Contracts: How to Exploit Small Action Spaces ICLR 2024 Learning Thresholds with Latent Values and Censored Feedback ICLR 2024 Learning to Price Homogeneous Data NeurIPS 2024 Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances ICLR 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Linear Bellman Completeness Suffices for Efficient Online Reinforcement Learning with Few Actions COLT 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