Mathematics & Optimization

Generative Adversarial Symmetry Discovery ICML 2023 Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NeurIPS 2023 Geodesically convex M-estimation in metric spaces COLT 2023 Geometric Analysis of Matrix Sensing over Graphs NeurIPS 2023 Geometric Barriers for Stable and Online Algorithms for Discrepancy Minimization COLT 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 Gibbsian Polar Slice Sampling ICML 2023 Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023 Global Identifiability of ℓ_1-based Dictionary Learning via Matrix Volume Optimization NeurIPS 2023 Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application to Credit-Risk Evaluation JMLR 2023 Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NeurIPS 2023 Global optimality for Euclidean CCCP under Riemannian convexity ICML 2023 Global Optimality in Bivariate Gradient-based DAG Learning NeurIPS 2023 Global Optimization with Parametric Function Approximation ICML 2023 GloptiNets: Scalable Non-Convex Optimization with Certificates NeurIPS 2023 GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming ICML 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023 Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract) IJCAI 2023 Gradient Descent Converges Linearly for Logistic Regression on Separable Data ICML 2023 Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023 Gradient-Variation Bound for Online Convex Optimization with Constraints AAAI 2023 GRAND-SLAMIN’ Interpretable Additive Modeling with Structural Constraints NeurIPS 2023 Graph-Aided Online Multi-Kernel Learning JMLR 2023 Graph Attention Retrospective JMLR 2023 Graph-based Deterministic Policy Gradient for Repetitive Combinatorial Optimization Problems ICLR 2023