标题/作者	年份
First-order and stochastic optimization methods for machine learning G Lan Springer	2020
Linearized ADMM for nonconvex nonsmooth optimization with convergence analysis Q Liu, X Shen, Y Gu IEEE access 7, 76131-76144	2019
A proximal alternating direction method of multiplier for linearly constrained nonconvex minimization J Zhang, ZQ Luo SIAM Journal on Optimization 30 (3), 2272-2302	2020
Gradient primal-dual algorithm converges to second-order stationary solution for nonconvex distributed optimization over networks M Hong, M Razaviyayn, J Lee International Conference on Machine Learning, 2009-2018	2018
Complexity of a quadratic penalty accelerated inexact proximal point method for solving linearly constrained nonconvex composite programs W Kong, JG Melo, RDC Monteiro SIAM Journal on Optimization 29 (4), 2566-2593	2019
Convergence rate bounds for a proximal ADMM with over-relaxation stepsize parameter for solving nonconvex linearly constrained problems MLN Goncalves, JG Melo, RDC Monteiro arXiv preprint arXiv:1702.01850	2017
Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading B Haefner, Y Quéau, T Möllenhoff, D Cremers Proceedings of the IEEE conference on computer vision and pattern …	2018
Worst-case evaluation complexity and optimality of second-order methods for nonconvex smooth optimization C Cartis, NIM Gould, PL Toint Proceedings of the International Congress of Mathematicians: Rio de Janeiro …	2018
ADMM for multiaffine constrained optimization W Gao, D Goldfarb, FE Curtis Optimization Methods and Software 35 (2), 257-303	2020
Efficient optimization algorithms for robust principal component analysis and its variants S Ma, NS Aybat Proceedings of the IEEE 106 (8), 1411-1426	2018
On the online Frank-Wolfe algorithms for convex and non-convex optimizations J Lafond, HT Wai, E Moulines arXiv preprint arXiv:1510.01171	2015
Alternating direction method of multipliers for a class of nonconvex bilinear optimization: convergence analysis and applications D Hajinezhad, Q Shi Journal of Global Optimization 70, 261-288	2018
Successive convex approximation algorithms for sparse signal estimation with nonconvex regularizations Y Yang, M Pesavento, S Chatzinotas, B Ottersten IEEE Journal of Selected Topics in Signal Processing 12 (6), 1286-1302	2018
Faster stochastic alternating direction method of multipliers for nonconvex optimization F Huang, S Chen, H Huang International conference on machine learning, 2839-2848	2019
Multiblock ADMM heuristics for mixed-binary optimization on classical and quantum computers C Gambella, A Simonetto IEEE Transactions on Quantum Engineering 1, 1-22	2020
Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis J Zhang, S Ma, S Zhang Mathematical Programming 184 (1-2), 445-490	2020
Complexity of proximal augmented Lagrangian for nonconvex optimization with nonlinear equality constraints Y Xie, SJ Wright Journal of Scientific Computing 86, 1-30	2021
An exact penalty method for binary optimization based on MPEC formulation G Yuan, B Ghanem Proceedings of the AAAI Conference on Artificial Intelligence 31 (1)	2017
A global dual error bound and its application to the analysis of linearly constrained nonconvex optimization J Zhang, ZQ Luo SIAM Journal on Optimization 32 (3), 2319-2346	2022
A two-level ADMM algorithm for AC OPF with global convergence guarantees K Sun, XA Sun IEEE Transactions on Power Systems 36 (6), 5271-5281	2021

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