Continuous Optimization

Algorithmically Effective Differentially Private Synthetic Data COLT 2023 Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing NeurIPS 2023 A linear time approximation of Wasserstein distance with word embedding selection EMNLP 2023 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023 Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations ICML 2023 Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023 An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks JMLR 2023 A Nearly-Optimal Bound for Fast Regression with ℓ_∞ Guarantee ICML 2023 An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots RSS 2023 An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions NeurIPS 2023 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NeurIPS 2023 A Novel Demand Response Model and Method for Peak Reduction in Smart Grids -- PowerTAC IJCAI 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 Approximate Envy-Freeness in Graphical Cake Cutting IJCAI 2023 Approximate Inference in Logical Credal Networks IJCAI 2023 Approximating probabilistic explanations via supermodular minimization UAI 2023 A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 A Scalable Frank-Wolfe-Based Algorithm for the Max-Cut SDP ICML 2023 A Single-Loop Accelerated Extra-Gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization NeurIPS 2023 Asymptotic confidence sets for random linear programs COLT 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023