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non-convex optimization

546 papers

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Also known as

IRLS

Co-occurring keywords

stochastic gradient descent (1088) stochastic optimization (1060) gradient descent (1143) convergence rate (606) convergence analysis (394) variance reduction (520) nonconvex optimization (316) saddle point (95) matrix factorization (529) online learning (1770)

Papers

Multi-Stage Multi-Task Feature Learning JMLR 2013
Non-convex P-Norm Projection for Robust Sparsity ICCV 2013
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013
Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013
Matrix factorization with binary components NIPS 2013
A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding ICCV 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Multi-Stage Multi-Task Feature Learning NIPS 2012
Regularized Bundle Methods for Convex and Non-Convex Risks JMLR 2012
Multiple Instance Learning on Structured Data NIPS 2011
Beyond Spectral Clustering - Tight Relaxations of Balanced Graph Cuts NIPS 2011
High-dimensional regression with noisy and missing data: Provable guarantees with non-convexity NIPS 2011
Global Analytic Solution for Variational Bayesian Matrix Factorization NIPS 2010
t-logistic regression NIPS 2010
Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010
Fast Image Deconvolution using Hyper-Laplacian Priors NIPS 2009
Tighter Bounds for Structured Estimation NIPS 2008
Optimization Techniques for Semi-Supervised Support Vector Machines JMLR 2008
Automated Hierarchy Discovery for Planning in Partially Observable Environments NIPS 2006
Branch and Bound for Semi-Supervised Support Vector Machines NIPS 2006