- Ying Cui
, Ziyu He, Jong-Shi Pang:
MultiComposite Nonconvex Optimization for Training Deep Neural Networks. SIAM J. Optim. 30(2): 1693-1723 (2020) - Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev:
Second-Order Guarantees of Distributed Gradient Algorithms. SIAM J. Optim. 30(4): 3029-3068 (2020) - Aris Daniilidis, Dmitriy Drusvyatskiy:
Pathological Subgradient Dynamics. SIAM J. Optim. 30(2): 1327-1338 (2020) - Zsolt Darvay, Tibor Illés, Janez Povh, Petra Renáta Rigó:
Feasible Corrector-Predictor Interior-Point Algorithm for P* (κ)-Linear Complementarity Problems Based on a New Search Direction. SIAM J. Optim. 30(3): 2628-2658 (2020) - Jelena Diakonikolas, Maryam Fazel, Lorenzo Orecchia:
Fair Packing and Covering on a Relative Scale. SIAM J. Optim. 30(4): 3284-3314 (2020) - Chao Ding, Defeng Sun, Jie Sun, Kim-Chuan Toh:
Spectral Operators of Matrices: Semismoothness and Characterizations of the Generalized Jacobian. SIAM J. Optim. 30(1): 630-659 (2020) - Nikita Doikov, Yurii E. Nesterov:
Contracting Proximal Methods for Smooth Convex Optimization. SIAM J. Optim. 30(4): 3146-3169 (2020) - Maxim V. Dolgopolik:
A New Constraint Qualification and Sharp Optimality Conditions for Nonsmooth Mathematical Programming Problems in Terms of Quasidifferentials. SIAM J. Optim. 30(3): 2603-2627 (2020) - Daniel Duque, David P. Morton:
Distributionally Robust Stochastic Dual Dynamic Programming. SIAM J. Optim. 30(4): 2841-2865 (2020) - Armin Eftekhari, Raphael A. Hauser:
Principal Component Analysis by Optimization of Symmetric Functions has no Spurious Local Optima. SIAM J. Optim. 30(1): 439-463 (2020) - Alexander S. Estes, Michael O. Ball:
Facets of the Stochastic Network Flow Problem. SIAM J. Optim. 30(3): 2355-2378 (2020) - S. Rasoul Etesami:
Complexity and Approximability of Optimal Resource Allocation and Nash Equilibrium over Networks. SIAM J. Optim. 30(1): 885-914 (2020) - Mohammad Farazmand:
Multiscale Analysis of Accelerated Gradient Methods. SIAM J. Optim. 30(3): 2337-2354 (2020) - Andreas Fischer, Alexey F. Izmailov, Wladimir Scheck:
Adjusting Dual Iterates in the Presence of Critical Lagrange Multipliers. SIAM J. Optim. 30(2): 1555-1581 (2020) - Saeed Ghadimi, Andrzej Ruszczynski, Mengdi Wang:
A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization. SIAM J. Optim. 30(1): 960-979 (2020) - Philip E. Gill, Vyacheslav Kungurtsev, Daniel P. Robinson:
A Shifted Primal-Dual Penalty-Barrier Method for Nonlinear Optimization. SIAM J. Optim. 30(2): 1067-1093 (2020) - Geovani Nunes Grapiglia, Yurii E. Nesterov:
Tensor Methods for Minimizing Convex Functions with Hölder Continuous Higher-Order Derivatives. SIAM J. Optim. 30(4): 2750-2779 (2020) - Xiaoyi Gu, Shabbir Ahmed, Santanu S. Dey:
Exact Augmented Lagrangian Duality for Mixed Integer Quadratic Programming. SIAM J. Optim. 30(1): 781-797 (2020) - Guoyong Gu, Junfeng Yang:
Tight Sublinear Convergence Rate of the Proximal Point Algorithm for Maximal Monotone Inclusion Problems. SIAM J. Optim. 30(3): 1905-1921 (2020) - Vincent Guigues:
Inexact Cuts in Stochastic Dual Dynamic Programming. SIAM J. Optim. 30(1): 407-438 (2020) - Wooseok Ha, Haoyang Liu, Rina Foygel Barber:
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations. SIAM J. Optim. 30(4): 2927-2955 (2020) - Naoki Hamada, Kenta Hayano, Shunsuke Ichiki, Yutaro Kabata, Hiroshi Teramoto:
Topology of Pareto Sets of Strongly Convex Problems. SIAM J. Optim. 30(3): 2659-2686 (2020) - Warren L. Hare, Gabriel Jarry-Bolduc:
Calculus Identities for Generalized Simplex Gradients: Rules and Applications. SIAM J. Optim. 30(1): 853-884 (2020) - Hamed Hassani, Amin Karbasi, Aryan Mokhtari, Zebang Shen:
Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization. SIAM J. Optim. 30(4): 3315-3344 (2020) - Elias S. Helou, Sandra A. Santos, Lucas E. A. Simões:
A New Sequential Optimality Condition for Constrained Nonsmooth Optimization. SIAM J. Optim. 30(2): 1610-1637 (2020) - Dorit S. Hochbaum, Cheng Lu:
Erratum: A Faster Algorithm Solving a Generalization of Isotonic Median Regression and a Class of Fused Lasso Problems. SIAM J. Optim. 30(1): 1048 (2020) - Yifan Hu, Xin Chen, Niao He:
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization. SIAM J. Optim. 30(3): 2103-2133 (2020) - Rujun Jiang, Duan Li:
A Linear-Time Algorithm for Generalized Trust Region Subproblems. SIAM J. Optim. 30(1): 915-932 (2020) - Bo Jiang, Tianyi Lin, Shuzhong Zhang:
A Unified Adaptive Tensor Approximation Scheme to Accelerate Composite Convex Optimization. SIAM J. Optim. 30(4): 2897-2926 (2020) - Bangti Jin, Zehui Zhou, Jun Zou:
On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems. SIAM J. Optim. 30(2): 1421-1450 (2020)
