non-convex optimization

Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification ICML 2017 Stochastic Mirror Descent in Variationally Coherent Optimization Problems NeurIPS 2017 Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions ICML 2017 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017 Algorithms and matching lower bounds for approximately-convex optimization NeurIPS 2016 A Linearly-Convergent Stochastic L-BFGS Algorithm AISTATS 2016 A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization NeurIPS 2016 A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NeurIPS 2016 A Pseudo-Bayesian Algorithm for Robust PCA NeurIPS 2016 Basis Learning as an Algorithmic Primitive COLT 2016 Blind Image Deblurring Using Dark Channel Prior CVPR 2016 Convergence of Stochastic Gradient Descent for PCA ICML 2016 Dealbreaker: A Nonlinear Latent Variable Model for Educational Data ICML 2016 Deep Learning without Poor Local Minima NeurIPS 2016 Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis NeurIPS 2016 Fast Algorithms for Robust PCA via Gradient Descent NeurIPS 2016 Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NeurIPS 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives ICML 2016 Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NeurIPS 2016 Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016 Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016