On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems

17 July 2021

Papers citing "On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems"

12 / 12 papers shown

Title
From exponential to finite/fixed-time stability: Applications to optimization Ibrahim Kurban Özaslan Mihailo R. Jovanović 39 2 0 18 Sep 2024
Primal Methods for Variational Inequality Problems with Functional Constraints Liang Zhang Niao He Michael Muehlebach 34 2 0 19 Mar 2024
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 25 3 0 01 Dec 2023
A Variational Perspective on High-Resolution ODEs Hoomaan Maskan K. C. Zygalakis A. Yurtsever 37 3 0 03 Nov 2023
Online Learning under Adversarial Nonlinear Constraints Pavel Kolev Georg Martius Michael Muehlebach 24 7 0 06 Jun 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold S. Schechtman D. Tiapkin Michael Muehlebach Eric Moulines 27 6 0 16 Mar 2023
Accelerated First-Order Optimization under Nonlinear Constraints Michael Muehlebach Michael I. Jordan 45 3 0 01 Feb 2023
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks Louis Leconte S. Schechtman Eric Moulines 29 4 0 07 Nov 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 31 25 0 20 Mar 2022
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 42 0 29 Oct 2021
Optimization on manifolds: A symplectic approach G. Francca Alessandro Barp Mark Girolami Michael I. Jordan 19 11 0 23 Jul 2021
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 105 1,152 0 04 Mar 2015