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Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble
  Method

Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method

7 January 2020
Pengzhou (Abel) Wu
Kenji Fukumizu
    CML
ArXivPDFHTML

Papers citing "Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method"

7 / 7 papers shown
Title
Causal Representation Learning Made Identifiable by Grouping of
  Observational Variables
Causal Representation Learning Made Identifiable by Grouping of Observational Variables
H. Morioka
Aapo Hyvarinen
OOD
CML
BDL
25
9
0
24 Oct 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Biwei Huang
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Kun Zhang
AI4CE
50
11
0
29 Jan 2023
$β$-Intact-VAE: Identifying and Estimating Causal Effects under
  Limited Overlap
βββ-Intact-VAE: Identifying and Estimating Causal Effects under Limited Overlap
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
33
14
0
11 Oct 2021
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Towards Principled Causal Effect Estimation by Deep Identifiable Models
Pengzhou (Abel) Wu
Kenji Fukumizu
BDL
OOD
CML
22
3
0
30 Sep 2021
Identifiable Energy-based Representations: An Application to Estimating
  Heterogeneous Causal Effects
Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects
Yao Zhang
Jeroen Berrevoets
M. Schaar
CML
24
5
0
06 Aug 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
37
296
0
03 Mar 2021
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
175
2,577
0
28 Mar 2008
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