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

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

Journal of machine learning research (JMLR), 2021

8 January 2021

Ricardo Baptista

Youssef Marzouk

Rebecca E. Morrison

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

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Title
Conditional Independence Estimates for the Generalized Nonparanormal Ujas Shah Manuel Lladser Rebecca Morrison 54 0 0 14 Aug 2025
A friendly introduction to triangular transport M. Ramgraber Daniel Sharp M. Le Provost Youssef Marzouk 238 0 0 27 Mar 2025
Learning local neighborhoods of non-Gaussian graphical models: A measure transport approachAAAI Conference on Artificial Intelligence (AAAI), 2025 Sarah Liaw Rebecca E. Morrison Youssef Marzouk Ricardo Baptista 240 1 0 18 Mar 2025
Causal Order Discovery based on Monotonic SCMs Ali Izadi Martin Ester 193 1 0 24 Oct 2024
Exact mean and covariance formulas after diagonal transformations of a multivariate normal Rebecca E. Morrison E. Basor 187 1 0 28 Jun 2024
Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dotsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023 Théo Bourdais Pau Batlle Xianjin Yang Ricardo Baptista Nicolas Rouquette H. Owhadi 295 0 0 28 Nov 2023
An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization M. Le Provost Ricardo Baptista J. Eldredge Youssef Marzouk 120 1 0 12 Oct 2023
Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov NetworksInternational Conference on Learning Representations (ICLR), 2023 Yujia Zheng Ignavier Ng Yewen Fan Kun Zhang 151 6 0 19 May 2023
Taming Hyperparameter Tuning in Continuous Normalizing Flows Using the JKO SchemeScientific Reports (Sci Rep), 2022 Alexander Vidal Samy Wu Fung Luis Tenorio Stanley Osher L. Nurbekyan 209 23 0 30 Nov 2022
Ensemble transport smoothing. Part II: Nonlinear updates M. Ramgraber Ricardo Baptista D. McLaughlin Youssef Marzouk 223 6 0 31 Oct 2022
Ensemble transport smoothing. Part I: Unified framework M. Ramgraber Ricardo Baptista D. McLaughlin Youssef Marzouk 307 6 0 31 Oct 2022
Causal Effect Identification in Uncertain Causal NetworksNeural Information Processing Systems (NeurIPS), 2022 S. Akbari Fatemeh Jamshidi Ehsan Mokhtarian M. Vowels Jalal Etesami Negar Kiyavash CML 295 5 0 09 Aug 2022
Gradient-based data and parameter dimension reduction for Bayesian models: an information theoretic perspective Ricardo Baptista Youssef Marzouk O. Zahm 172 16 0 18 Jul 2022
Diagonal Nonlinear Transformations Preserve Structure in Covariance and Precision MatricesJournal of Multivariate Analysis (J. Multivar. Anal.), 2021 Rebecca E. Morrison Ricardo Baptista E. Basor 239 9 0 08 Jul 2021
On the representation and learning of monotone triangular transport mapsFoundations of Computational Mathematics (FoCM), 2020 Ricardo Baptista Youssef Marzouk O. Zahm 191 62 0 22 Sep 2020