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Gaussian Process Vine Copulas for Multivariate Dependence

Gaussian Process Vine Copulas for Multivariate Dependence

International Conference on Machine Learning (ICML), 2013
16 February 2013
David Lopez-Paz
José Miguel Hernández-Lobato
Zoubin Ghahramani
ArXiv (abs)PDFHTML

Papers citing "Gaussian Process Vine Copulas for Multivariate Dependence"

11 / 11 papers shown
Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation
Deep Copula Classifier: Theory, Consistency, and Empirical Evaluation
Agnideep Aich
Ashit Baran Aich
324
2
0
29 May 2025
Inference and Sampling for Archimax Copulas
Inference and Sampling for Archimax CopulasNeural Information Processing Systems (NeurIPS), 2022
Yuting Ng
Ali Hasan
Vahid Tarokh
366
6
0
27 May 2022
A Python Package for Sampling from Copulae: clayton
A Python Package for Sampling from Copulae: clayton
Alexis Boulin
167
0
0
31 Mar 2022
Copula Flows for Synthetic Data Generation
Copula Flows for Synthetic Data Generation
Sanket Kamthe
Samuel A. Assefa
M. Deisenroth
374
66
0
03 Jan 2021
Effect of backdoor attacks over the complexity of the latent space
  distribution
Effect of backdoor attacks over the complexity of the latent space distribution
Henry Chacón
P. Rad
AAML
272
1
0
29 Nov 2020
Parametric Copula-GP model for analyzing multidimensional neuronal and
  behavioral relationships
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships
N. Kudryashova
Theoklitos Amvrosiadis
Nathalie Dupuy
Nathalie L Rochefort
A. Onken
206
7
0
03 Aug 2020
Variational Inference with Vine Copulas: An efficient Approach for
  Bayesian Computer Model Calibration
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model CalibrationStatistics and computing (Stat. Comput.), 2020
Vojtech Kejzlar
T. Maiti
304
7
0
28 Mar 2020
Learning Vine Copula Models For Synthetic Data Generation
Learning Vine Copula Models For Synthetic Data Generation
Yi Sun
Alfredo Cuesta-Infante
K. Veeramachaneni
148
52
0
04 Dec 2018
From Dependence to Causation
From Dependence to Causation
David Lopez-Paz
OODCML
374
28
0
12 Jul 2016
Variational Gaussian Copula Inference
Variational Gaussian Copula Inference
Shaobo Han
X. Liao
David B. Dunson
Lawrence Carin
277
59
0
19 Jun 2015
Gaussian Process Conditional Copulas with Applications to Financial Time
  Series
Gaussian Process Conditional Copulas with Applications to Financial Time SeriesNeural Information Processing Systems (NeurIPS), 2013
José Miguel Hernández-Lobato
J. Lloyd
Daniel Hernández-Lobato
350
20
0
01 Jul 2013
1
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