Law of Log Determinant of Sample Covariance Matrix and Optimal
Estimation of Differential Entropy for High-Dimensional Gaussian
Distributions

Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions

2 September 2013

T. Tony Cai

Harrison H. Zhou

Papers citing "Law of Log Determinant of Sample Covariance Matrix and Optimal Estimation of Differential Entropy for High-Dimensional Gaussian Distributions"

17 / 17 papers shown

Title
Mutual Information Estimation via Normalizing Flows I. Butakov Alexander Tolmachev S. Malanchuk A. Neopryatnaya Alexey Frolov 40 7 0 04 Mar 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen Kai-Chun Liu Ze Chen Yi Gu Yue-bo Wu Mingyuan Tao Zhihang Fu Jieping Ye HILM 85 87 0 06 Feb 2024
Justices for Information Bottleneck Theory Faxian Cao Yongqiang Cheng A. Khan Zhijing Yang 19 0 0 19 May 2023
Diffeomorphic Information Neural Estimation Bao Duong T. Nguyen 21 6 0 20 Nov 2022
VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling Beiwen Tian Liyi Luo Hao Zhao Guyue Zhou 27 23 0 20 Oct 2022
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Liyi Luo Beiwen Tian Hao Zhao Guyue Zhou 3DPC 24 9 0 17 Sep 2021
Linear spectral statistics of sequential sample covariance matrices Nina Dórnemann Holger Dette 18 3 0 21 Jul 2021
Understanding Neural Networks with Logarithm Determinant Entropy Estimator Zhanghao Zhouyin Ding Liu FAtt 16 8 0 08 May 2021
Phase transition in noisy high-dimensional random geometric graphs Suqi Liu Miklós Z. Rácz 11 16 0 28 Mar 2021
Barlow Twins: Self-Supervised Learning via Redundancy Reduction Jure Zbontar Li Jing Ishan Misra Yann LeCun Stéphane Deny SSL 84 2,299 0 04 Mar 2021
Learning Condition Invariant Features for Retrieval-Based Localization from 1M Images Janine Thoma D. Paudel Ajad Chhatkuli Luc Van Gool 17 2 0 27 Aug 2020
How Well Generative Adversarial Networks Learn Distributions Tengyuan Liang GAN 18 94 0 07 Nov 2018
Asymptotically Efficient Estimation of Smooth Functionals of Covariance Operators V. Koltchinskii 24 30 0 25 Oct 2017
Estimating Large Precision Matrices via Modified Cholesky Decomposition Kyoungjae Lee Jaeyong Lee 32 23 0 04 Jul 2017
Nonparanormal Information Estimation Shashank Singh Barnabás Póczós 21 20 0 24 Feb 2017
Optimal Bayesian Minimax Rates for Unconstrained Large Covariance Matrices Kyoungjae Lee Jaeyong Lee 8 15 0 24 Feb 2017
Bernstein-von Mises Theorems for Functionals of Covariance Matrix Chao Gao Harrison H. Zhou 16 13 0 01 Dec 2014