covariance matrix

Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets CVPR 2017 Estimation of the covariance structure of heavy-tailed distributions NeurIPS 2017 How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017 Learning Local Dependence In Ordered Data JMLR 2017 Minimax Estimation of Bandable Precision Matrices NeurIPS 2017 On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NeurIPS 2017 Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017 Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017 Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017 Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017 A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models AISTATS 2016 Combinatorial semi-bandit with known covariance NeurIPS 2016 Exact Inference on Gaussian Graphical Models of Arbitrary Topology using Path-Sums JMLR 2016 An Efficient Statistical Method for Image Noise Level Estimation ICCV 2015 Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) ICML 2015 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015 Non-asymptotic Analysis of Compressive Fisher Discriminants in terms of the Effective Dimension ACML 2015 On Linearly Constrained Minimum Variance Beamforming JMLR 2015 Covariance shrinkage for autocorrelated data NeurIPS 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Using Projection Kurtosis Concentration Of Natural Images For Blind Noise Covariance Matrix Estimation CVPR 2014 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Generalizing Analytic Shrinkage for Arbitrary Covariance Structures NeurIPS 2013 Heterogeneous Auto-similarities of Characteristics (HASC): Exploiting Relational Information for Classification ICCV 2013 New Subsampling Algorithms for Fast Least Squares Regression NeurIPS 2013