Mathematics & Optimization

Optimization of Inter-group criteria for clustering with minimum size constraints NeurIPS 2023 Optimization or Architecture: How to Hack Kalman Filtering NeurIPS 2023 Optimized Covariance Design for AB Test on Social Network under Interference NeurIPS 2023 Optimizing Multiple Simultaneous Objectives for Voting and Facility Location AAAI 2023 Optimizing NOTEARS Objectives via Topological Swaps ICML 2023 Optimizing over trained GNNs via symmetry breaking NeurIPS 2023 Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization NeurIPS 2023 Oracle-Efficient Smoothed Online Learning for Piecewise Continuous Decision Making COLT 2023 Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path AISTATS 2023 Ordinal Hedonic Seat Arrangement under Restricted Preference Domains: Swap Stability and Popularity IJCAI 2023 Ordinal Maximin Share Approximation for Goods (Extended Abstract) IJCAI 2023 Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold COLT 2023 OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels CVPR 2023 Outlier Robust Adversarial Training ACML 2023 Outlier-Robust Gromov-Wasserstein for Graph Data NeurIPS 2023 Outlier-Robust Subsampling Techniques for Persistent Homology JMLR 2023 Outlier-Robust Wasserstein DRO NeurIPS 2023 Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023 Overparameterized Random Feature Regression with Nearly Orthogonal Data AISTATS 2023 Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points ICML 2023 PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023 Paging with Succinct Predictions ICML 2023 Parallel Index-Based Search Algorithm for Coalition Structure Generation (Student Abstract) AAAI 2023 Parallel Submodular Function Minimization NeurIPS 2023 Parameterized Algorithms for Colored Clustering AAAI 2023