Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: An Empirical Study of ADMM for Nonconvex Problems
Adaptive ADMM with Spectral Penalty Parameter Selection
DC Proximal Newton for Nonconvex Optimization Problems
Stochastic Recursive Gradient Algorithm for Nonconvex Optimization
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Semi-proximal Mirror-Prox for Nonsmooth Composite Minimization
Fast Stochastic Methods for Nonsmooth Nonconvex Optimization
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
A coordinate gradient descent method for ℓ1-regularized convex minimization
Asynchronous Distributed ADMM for Consensus Optimization
The Asynchronous PALM Algorithm for Nonsmooth Nonconvex Problems
A control perspective for centralized and distributed convex optimization
A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging
A global optimization method for nonconvex separable programming problems
On the Generalization Ability of Online Strongly Convex Programming Algorithms
A Sufficient Condition for Convergences of Adam and RMSProp
On the Convergence of Adam and Beyond
DLM: Decentralized Linearized Alternating Direction Method of Multipliers
On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers
Training Neural Networks Without Gradients: A Scalable ADMM Approach
RMSProp and equilibrated adaptive learning rates for non-convex optimization.
Multi-view object class detection with a 3D geometric model
Scaling Multicore Databases via Constrained Parallel Execution
Preclinical prediction of Alzheimer's disease using SPECT.
Time-Varying Moth-Inspired Algorithm for Chemical Plume Tracing in Turbulent Environment
Regression Shrinkage and Selection Via the Lasso