[26] On the linear convergence of the alternating direction method of multipliers

[27] Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems

[28] Distributed Non-Convex First-Order Optimization and Information Processing: Lower Complexity Bounds and Rate Optimal Algorithms

[29] Tight Coefficients of Averaged Operators via Scaled Relative Graph

[30] Low-M-Rank Tensor Completion and Robust Tensor PCA

[31] RSA: Byzantine-robust stochastic aggregation methods for distributed learning from heterogeneous datasets

[32] Primal-dual optimization algorithms over Riemannian manifolds: an iteration complexity analysis

[33] Can primal methods outperform primal-dual methods in decentralized dynamic optimization?

[34] Federated variance-reduced stochastic gradient descent with robustness to Byzantine attacks

[35] Communication-censored distributed stochastic gradient descent

[36] Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization

[37] Communication-censored linearized ADMM for decentralized consensus optimization

[38] Communication-censored ADMM for decentralized consensus optimization

[39] Robust group lasso: Model and recoverability

[40] Decentralized consensus optimization with asynchrony and delays

[41] Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold

[42] Proper Orthogonal Decomposition Method to Nonlinear Filtering Problems in Medium-High Dimension

[43] The novel classes of finite dimensional filters with non-maximal rank estimation algebra on state dimension four and rank of one

[44] Alternating direction augmented Lagrangian methods for semidefinite programming

[45] Iteratively reweighted algorithms for compressive sensing

[46] Simultaneous redundant via insertion and line end extension for yield optimization

[47] Obstacle problem for von Karman equations

[48] Distributed optimization and statistical learning via the alternating direction method of multipliers

[49] Generalized high-dimensional trace regression via nuclear norm regularization

[50] Gradient descent with random initialization: Fast global convergence for nonconvex phase retrieval