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ORCIDMathematical Programming, Volume 176
Volume 176, Numbers 1-2, July 2019
- Yufeng Liu, Jong-Shi Pang, Jack Xin:
Preface. 1-4 - Yuxin Chen
, Yuejie Chi, Jianqing Fan, Cong Ma:
Gradient descent with random initialization: fast global convergence for nonconvex phase retrieval. 5-37 - Yifan Chen, Yuejiao Sun, Wotao Yin:
Run-and-Inspect Method for nonconvex optimization and global optimality bounds for R-local minimizers. 39-67 - Frank E. Curtis, Daniel P. Robinson:
Exploiting negative curvature in deterministic and stochastic optimization. 69-94 - Hongbo Dong, Miju Ahn, Jong-Shi Pang:
Structural properties of affine sparsity constraints. 95-135 - Carson Eisenach, Han Liu:
Efficient, certifiably optimal clustering with applications to latent variable graphical models. 137-173 - Ethan X. Fang, Han Liu, Mengdi Wang:
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach. 175-205 - Davood Hajinezhad, Mingyi Hong:
Perturbed proximal primal-dual algorithm for nonconvex nonsmooth optimization. 207-245 - Michael Ho, Jack Xin:
Sparse Kalman filtering approaches to realized covariance estimation from high frequency financial data. 247-278 - Koulik Khamaru, Rahul Mazumder:
Computation of the maximum likelihood estimator in low-rank factor analysis. 279-310 - Jason D. Lee, Ioannis Panageas, Georgios Piliouras, Max Simchowitz, Michael I. Jordan, Benjamin Recht:
First-order methods almost always avoid strict saddle points. 311-337 - Tianxiang Liu, Ting Kei Pong, Akiko Takeda:
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems. 339-367 - Zhaosong Lu, Zirui Zhou, Zhe Sun:
Enhanced proximal DC algorithms with extrapolation for a class of structured nonsmooth DC minimization. 369-401 - Michael O'Neill, Stephen J. Wright:
Behavior of accelerated gradient methods near critical points of nonconvex functions. 403-427 - Chengde Qian, Quoc Tran-Dinh, Sheng Fu, Changliang Zou, Yufeng Liu:
Robust multicategory support matrix machines. 429-463 - Meisam Razaviyayn, Mingyi Hong, Navid Reyhanian, Zhi-Quan Luo:
A linearly convergent doubly stochastic Gauss-Seidel algorithm for solving linear equations and a certain class of over-parameterized optimization problems. 465-496 - Gesualdo Scutari, Ying Sun:
Distributed nonconvex constrained optimization over time-varying digraphs. 497-544 - Zhuoran Yang, Lin F. Yang, Ethan X. Fang, Tuo Zhao, Zhaoran Wang, Matey Neykov:
Misspecified nonconvex statistical optimization for sparse phase retrieval. 545-571
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