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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

On perfectness in Gaussian graphical models AISTATS 2022
Conditional Linear Regression for Heterogeneous Covariances AISTATS 2022
coVariance Neural Networks NIPS 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations JMLR 2022
Efficiency Ordering of Stochastic Gradient Descent NIPS 2022
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification AAAI 2022
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models PGM 2022
Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021
Online A-Optimal Design and Active Linear Regression ICML 2021
On Feature Decorrelation in Self-Supervised Learning ICCV 2021
The Sample Complexity of Robust Covariance Testing COLT 2021
Feature-Based SLAM: Why Simultaneous Localisation and Mapping? RSS 2021
Learning partial correlation graphs and graphical models by covariance queries JMLR 2021
Higher-order Derivatives of Weighted Finite-state Machines IJCNLP 2021
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NIPS 2020
Competing Speaker Count Estimation on the Fusion of the Spectral and Spatial Embedding Space INTERSPEECH 2020
Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective JMLR 2020
Computationally Efficient and Versatile Framework for Joint Optimization of Blind Speech Separation and Dereverberation INTERSPEECH 2020
A Finite-Sample Deviation Bound for Stable Autoregressive Processes L4DC 2020
Modeling Noisy Annotations for Crowd Counting NIPS 2020
Graphical continuous Lyapunov models UAI 2020
Global Second-Order Pooling Convolutional Networks CVPR 2019
Implicit Semantic Data Augmentation for Deep Networks NIPS 2019
Affine Invariant Covariance Estimation for Heavy-Tailed Distributions COLT 2019