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Sparse Optimization

347 directly classified papers

Papers per year

Papers

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014
Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014
Sparse PCA via Covariance Thresholding NIPS 2014
Efficient Structured Matrix Rank Minimization NIPS 2014
Sparse Space-Time Deconvolution for Calcium Image Analysis NIPS 2014
Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NIPS 2014
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Learning Optimally Sparse Support Vector Machines ICML 2013
Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013
Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013
Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Dirty Statistical Models NIPS 2013
Polar Operators for Structured Sparse Estimation NIPS 2013
Designed Measurements for Vector Count Data NIPS 2013
When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NIPS 2013
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013
High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013
Sparse projections onto the simplex ICML 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Estimating Unknown Sparsity in Compressed Sensing ICML 2013
Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013
Intersecting singularities for multi-structured estimation ICML 2013
Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013