Non-Convex Optimization

Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015 A Nonconvex Optimization Framework for Low Rank Matrix Estimation NeurIPS 2015 Beyond Convexity: Stochastic Quasi-Convex Optimization NeurIPS 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NeurIPS 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NeurIPS 2015 Cone-Constrained Principal Component Analysis NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Non-convex Robust PCA NeurIPS 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision CVPR 2013 Constrained fractional set programs and their application in local clustering and community detection ICML 2013 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013 Phase Retrieval using Alternating Minimization NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Scalable nonconvex inexact proximal splitting NeurIPS 2012