Online Learning

On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025 Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection UAI 2025 Optimization Over a Probability Simplex JMLR 2025 ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization ICLR 2025 PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning ICCV 2025 Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces UAI 2025 RecStream: Graph-aware Stream Management for Concurrent Recommendation Model Online Serving COLING 2025 Recursive Learning of Asymptotic Variational Objectives AISTATS 2025 Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator ICLR 2025 Responding to Promises: No-regret learning against followers with memory L4DC 2025 Safe Online Convex Optimization with Heavy-Tailed Observation Noises AAAI 2025 Scalable Decentralized Algorithms for Online Personalized Mean Estimation AAAI 2025 Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs L4DC 2025 Steering No-Regret Agents in MFGs under Model Uncertainty AISTATS 2025 Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback AAAI 2025 SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025 The Complexity of Sequential Prediction in Dynamical Systems L4DC 2025 Toward Long-Tailed Online Anomaly Detection through Class-Agnostic Concepts ICCV 2025 Variance-Dependent Regret Bounds for Nonstationary Linear Bandits AISTATS 2025 Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions AAAI 2025 Active, anytime-valid risk controlling prediction sets NeurIPS 2024 Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds COLT 2024 Adaptive Passive-Aggressive Framework for Online Regression with Side Information NeurIPS 2024 Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization JMLR 2024 Adversarial Online Learning with Temporal Feedback Graphs COLT 2024