online learning

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability ICML 2025 Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Variance-Dependent Regret Bounds for Nonstationary Linear Bandits AISTATS 2025 WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning ICLR 2025 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds COLT 2024 Adaptive Online Experimental Design for Causal Discovery ICML 2024 Adaptive online non-stochastic control L4DC 2024 A deep learning approach for distributed aggregative optimization with users’ Feedback L4DC 2024 Adversarial Causal Bayesian Optimization ICLR 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NeurIPS 2024 Apple Tasting: Combinatorial Dimensions and Minimax Rates COLT 2024 A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of Θ(T^2/3) and its Application to Best-of-Both-Worlds NeurIPS 2024 A Simple and Optimal Approach for Universal Online Learning with Gradient Variations NeurIPS 2024 ASML: A Scalable and Efficient AutoML Solution for Data Streams AutoML 2024 A Theory of Optimistically Universal Online Learnability for General Concept Classes NeurIPS 2024 AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024 Autoregressive Bandits AISTATS 2024 Bandit-Feedback Online Multiclass Classification: Variants and Tradeoffs NeurIPS 2024 Bandits with Abstention under Expert Advice NeurIPS 2024 Bandits with Concave Aggregated Reward IJCAI 2024 Bandits with Ranking Feedback NeurIPS 2024 Bandits with Replenishable Knapsacks: the Best of both Worlds ICLR 2024