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Learning non-Gaussian graphical models via Hessian scores and triangular
  transport

Learning non-Gaussian graphical models via Hessian scores and triangular transport

8 January 2021
Ricardo Baptista
Youssef Marzouk
Rebecca E. Morrison
O. Zahm
ArXivPDFHTML

Papers citing "Learning non-Gaussian graphical models via Hessian scores and triangular transport"

4 / 4 papers shown
Title
Computational Hypergraph Discovery, a Gaussian Process framework for
  connecting the dots
Computational Hypergraph Discovery, a Gaussian Process framework for connecting the dots
Théo Bourdais
Pau Batlle
Xianjin Yang
Ricardo Baptista
Nicolas Rouquette
H. Owhadi
16
0
0
28 Nov 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric
  Markov Networks
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks
Yujia Zheng
Ignavier Ng
Yewen Fan
Kun Zhang
9
4
0
19 May 2023
Ensemble transport smoothing. Part II: Nonlinear updates
Ensemble transport smoothing. Part II: Nonlinear updates
M. Ramgraber
Ricardo Baptista
D. McLaughlin
Youssef Marzouk
13
6
0
31 Oct 2022
Time Varying Undirected Graphs
Time Varying Undirected Graphs
Shuheng Zhou
John D. Lafferty
Larry A. Wasserman
111
240
0
20 Feb 2008
1