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Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery

Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery

Kun Zhang
Bernhard Schölkopf
Dominik Janzing
ArXiv (abs)PDFHTML

Papers citing "Invariant Gaussian Process Latent Variable Models and Application in Causal Discovery"

4 / 4 papers shown
Title
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Identification of Nonparametric Dynamic Causal Structure and Latent Process in Climate System
Minghao Fu
Zhen Zhang
Zijian Li
Yujia Zheng
Ignavier Ng
Yingyao Hu
Kun Zhang
CML
82
0
0
21 Jan 2025
Causal Inference using Gaussian Processes with Structured Latent Confounders
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty
Kenta Takatsu
David D. Jensen
Vikash K. Mansinghka
CML
143
19
0
14 Jul 2020
Causal Discovery with Cascade Nonlinear Additive Noise Models
Causal Discovery with Cascade Nonlinear Additive Noise Models
Ruichu Cai
Jie Qiao
Kun Zhang
Zhenjie Zhang
Zijian Li
CML
52
23
0
23 May 2019
Semi-parametric Network Structure Discovery Models
Semi-parametric Network Structure Discovery Models
Amir Dezfouli
Edwin V. Bonilla
Richard Nock
23
1
0
27 Feb 2017