Mathematics & Optimization

Online k-means Clustering on Arbitrary Data Streams ALT 2023 Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NeurIPS 2023 Online Learning for Non-monotone DR-Submodular Maximization: From Full Information to Bandit Feedback AISTATS 2023 Online Learning for Obstacle Avoidance CoRL 2023 Online Learning for Traffic Routing under Unknown Preferences AISTATS 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Online Learning in Dynamically Changing Environments COLT 2023 Online Learning in Stackelberg Games with an Omniscient Follower ICML 2023 Online learning of long-range dependencies NeurIPS 2023 Online Learning under Adversarial Nonlinear Constraints NeurIPS 2023 Online Learning with Feedback Graphs: The True Shape of Regret ICML 2023 Online Linearized LASSO AISTATS 2023 Online List Labeling with Predictions NeurIPS 2023 Online Local Differential Private Quantile Inference via Self-normalization ICML 2023 Online Mechanism Design for Information Acquisition ICML 2023 Online Model Adaptation with Feedforward Compensation CoRL 2023 Online (Multinomial) Logistic Bandit: Improved Regret and Constant Computation Cost NeurIPS 2023 Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback COLT 2023 Online Nonstochastic Control with Adversarial and Static Constraints ICML 2023 Online Non-stochastic Control with Partial Feedback JMLR 2023 Online Optimization over Riemannian Manifolds JMLR 2023 Online PCA in Converging Self-consistent Field Equations NeurIPS 2023 Online Performative Gradient Descent for Learning Nash Equilibria in Decision-Dependent Games NeurIPS 2023 Online Platforms and the Fair Exposure Problem under Homophily AAAI 2023 Online Platt Scaling with Calibeating ICML 2023