Mathematics & Optimization

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 One-Shot Strategic Classification Under Unknown Costs ICML 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024 On Improving Error Resilience of Neural End-to-End Speech Coders Interspeech 2024 On Interpolating Experts and Multi-Armed Bandits ICML 2024 Online Adaptive Anomaly Thresholding with Confidence Sequences ICML 2024 Online Algorithms with Uncertainty-Quantified Predictions ICML 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods AISTATS 2024 Online bipartite matching with imperfect advice ICML 2024 Online Budgeted Matching with General Bids NeurIPS 2024 Online Classification with Predictions NeurIPS 2024 Online Combinatorial Optimization with Group Fairness Constraints IJCAI 2024 Online Composite Optimization Between Stochastic and Adversarial Environments NeurIPS 2024 Online Control in Population Dynamics NeurIPS 2024 Online Control with Adversarial Disturbance for Continuous-time Linear Systems NeurIPS 2024 Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously NeurIPS 2024 Online decision making with history-average dependent costs L4DC 2024 Online Distribution Learning with Local Privacy Constraints AISTATS 2024 Online Estimation via Offline Estimation: An Information-Theoretic Framework NeurIPS 2024 Online Infinite-Dimensional Regression: Learning Linear Operators ALT 2024 Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs ICML 2024 Online learning in bandits with predicted context AISTATS 2024 Online Learning in Betting Markets: Profit versus Prediction ICML 2024