Sparse Optimization

A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions AISTATS 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Computation-Risk Tradeoffs for Covariance-Thresholded Regression ICML 2013 Designed Measurements for Vector Count Data NeurIPS 2013 Dirty Statistical Models NeurIPS 2013 Estimating Unknown Sparsity in Compressed Sensing ICML 2013 Fast Convolutional Sparse Coding CVPR 2013 GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity ICCV 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013 Improved Image Set Classification via Joint Sparse Approximated Nearest Subspaces CVPR 2013 Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013 Low-Rank Matrix and Tensor Completion via Adaptive Sampling NeurIPS 2013 Memory Limited, Streaming PCA NeurIPS 2013 Near-Optimal Entrywise Sampling for Data Matrices NeurIPS 2013 Noisy Sparse Subspace Clustering ICML 2013 Polar Operators for Structured Sparse Estimation NeurIPS 2013 Robust Sparse Principal Component Regression under the High Dimensional Elliptical Model NeurIPS 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013