sparse optimization

On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 On Sparse Gaussian Chain Graph Models NeurIPS 2014 Optimal Mean Robust Principal Component Analysis ICML 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 2014 Robust Surface Reconstruction via Triple Sparsity CVPR 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Sparsity and the Truncated l^2-norm AISTATS 2014 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Dirty Statistical Models NeurIPS 2013 Efficient Optimization for Sparse Gaussian Process Regression NeurIPS 2013 Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013 Estimating Unknown Sparsity in Compressed Sensing ICML 2013 High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 More data speeds up training time in learning halfspaces over sparse vectors NeurIPS 2013 Noisy Sparse Subspace Clustering ICML 2013 On Algorithms for Sparse Multi-factor NMF NeurIPS 2013 On model selection consistency of penalized M-estimators: a geometric theory NeurIPS 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013