first-order method

Acceleration of Frank-Wolfe Algorithms with Open-Loop Step-Sizes AISTATS 2023 Achieving Hierarchy-Free Approximation for Bilevel Programs with Equilibrium Constraints ICML 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023 End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization L4DC 2023 First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities NeurIPS 2023 On the Lower Bound of Minimizing Polyak-Łojasiewicz functions COLT 2023 Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023 Open Problem: Polynomial linearly-convergent method for g-convex optimization? COLT 2023 Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization NeurIPS 2023 Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property ICLR 2023 Robust Satisficing MDPs ICML 2023 Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023 SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization NeurIPS 2023 Solving Linear Programs with Fast Online Learning Algorithms ICML 2023 Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value NeurIPS 2023 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach NeurIPS 2022 Efficient Convex Optimization Requires Superlinear Memory COLT 2022 Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems ICLR 2022 Exploitability Minimization in Games and Beyond NeurIPS 2022 Fast Algorithms for Packing Proportional Fairness and its Dual NeurIPS 2022 Learning Distributionally Robust Models at Scale via Composite Optimization ICLR 2022 LocoProp: Enhancing BackProp via Local Loss Optimization AISTATS 2022