non-convex optimization

Non-convex P-Norm Projection for Robust Sparsity ICCV 2013 Phase Retrieval using Alternating Minimization NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Sparse projections onto the simplex ICML 2013 Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NeurIPS 2013 The Fast Convergence of Incremental PCA NeurIPS 2013 Truncated Power Method for Sparse Eigenvalue Problems JMLR 2013 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Regularized Bundle Methods for Convex and Non-Convex Risks JMLR 2012 Scalable nonconvex inexact proximal splitting NeurIPS 2012 Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NeurIPS 2011 Efficient Learning of Generalized Linear and Single Index Models with Isotonic Regression NeurIPS 2011 High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NeurIPS 2011 Multiple Instance Learning on Structured Data NeurIPS 2011 Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010 Generalized Power Method for Sparse Principal Component Analysis JMLR 2010 Global Analytic Solution for Variational Bayesian Matrix Factorization NeurIPS 2010 t-logistic regression NeurIPS 2010 Fast Image Deconvolution using Hyper-Laplacian Priors NeurIPS 2009 Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008 Tighter Bounds for Structured Estimation NeurIPS 2008 Automated Hierarchy Discovery for Planning in Partially Observable Environments NeurIPS 2006 Branch and Bound for Semi-Supervised Support Vector Machines NeurIPS 2006