Continuous Optimization

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity NeurIPS 2023 Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization NeurIPS 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation JMLR 2023 Finding an ϵ-Close Minimal Variation of Parameters in Bayesian Networks IJCAI 2023 First-Order Algorithms for Nonlinear Generalized Nash Equilibrium Problems JMLR 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization NeurIPS 2023 Frequency Domain-Based Dataset Distillation NeurIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NeurIPS 2023 G*: A New Approach to Bounding Curvature Constrained Shortest Paths through Dubins Gates RSS 2023 Generalized Belief Transport NeurIPS 2023 Generalized equivalences between subsampling and ridge regularization NeurIPS 2023 Generalized Polyak Step Size for First Order Optimization with Momentum ICML 2023 Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization ICML 2023 Geodesically convex M-estimation in metric spaces COLT 2023 Geometric Analysis of Matrix Sensing over Graphs NeurIPS 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization 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 GloptiNets: Scalable Non-Convex Optimization with Certificates NeurIPS 2023 GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency CVPR 2023