Optimization

Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints ICML 2023 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023 Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023 A Distribution Optimization Framework for Confidence Bounds of Risk Measures ICML 2023 A Fast Algorithm for Computing Prefix Probabilities ACL 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 A Law of Robustness beyond Isoperimetry ICML 2023 Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation NeurIPS 2023 A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees JMLR 2023 A Neural State-Space Modeling Approach to Efficient Speech Separation Interspeech 2023 An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023 An Online and Unified Algorithm for Projection Matrix Vector Multiplication with Application to Empirical Risk Minimization AISTATS 2023 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NeurIPS 2023 A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence NeurIPS 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 Approximate Vanishing Ideal Computations at Scale ICLR 2023 A Relaxed Inertial Forward-Backward-Forward Algorithm for Solving Monotone Inclusions with Application to GANs JMLR 2023 Asymptotic confidence sets for random linear programs COLT 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NeurIPS 2023 A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023