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covariance matrix

101 papers

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Co-occurring keywords

graphical model (864) covariance estimation (98) high-dimensional statistics (145) linear regression (282) conditional independence (113) gaussian graphical model (106) gaussian process (1200) riemannian geometry (68) principal component analysis (316) precision matrix (58)

Papers

Faster Algorithms for High-Dimensional Robust Covariance Estimation COLT 2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019
Global Second-Order Pooling Convolutional Networks CVPR 2019
Manifold-regression to predict from MEG/EEG brain signals without source modeling NIPS 2019
Implicit Semantic Data Augmentation for Deep Networks NIPS 2019
Detecting non-causal artifacts in multivariate linear regression models ICML 2018
A Document Descriptor using Covariance of Word Vectors ACL 2018
Structured Uncertainty Prediction Networks CVPR 2018
MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses CVPR 2018
Algebraic tests of general Gaussian latent tree models NIPS 2018
A partial orthogonalization method for simulating covariance and concentration graph matrices PGM 2018
Aligning Infinite-Dimensional Covariance Matrices in Reproducing Kernel Hilbert Spaces for Domain Adaptation CVPR 2018
A Contrast Function and Algorithm for Blind Separation of Audio Signals INTERSPEECH 2017
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks IJCAI 2017
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices ACML 2017
Certifiably Optimal Low Rank Factor Analysis JMLR 2017
How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices? ICML 2017
Subspace Clustering via Variance Regularized Ridge Regression CVPR 2017
Robust Gaussian Graphical Model Estimation with Arbitrary Corruption ICML 2017
Learning Local Dependence In Ordered Data JMLR 2017
On the Power of Truncated SVD for General High-rank Matrix Estimation Problems NIPS 2017
Minimax Estimation of Bandable Precision Matrices NIPS 2017
Discriminative Covariance Oriented Representation Learning for Face Recognition With Image Sets CVPR 2017
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017
Estimation of the covariance structure of heavy-tailed distributions NIPS 2017