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Scalable Counterfactual Distribution Estimation in Multivariate Causal
  Models

Scalable Counterfactual Distribution Estimation in Multivariate Causal Models

2 November 2023
Thong Pham
Shohei Shimizu
H. Hino
Tam Le
ArXivPDFHTML

Papers citing "Scalable Counterfactual Distribution Estimation in Multivariate Causal Models"

6 / 6 papers shown
Title
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Tree-Sliced Wasserstein Distance with Nonlinear Projection
T. Tran
Viet-Hoang Tran
Thanh T. Chu
Trang Pham
Laurent El Ghaoui
Tam Le
T. Nguyen
19
0
0
02 May 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
54
2
0
05 Nov 2024
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach
Masayuki Takayama
Tadahisa Okuda
Thong Pham
T. Ikenoue
Shingo Fukuma
Shohei Shimizu
Akiyoshi Sannai
79
16
0
02 Feb 2024
Optimal Transport for Measures with Noisy Tree Metric
Optimal Transport for Measures with Noisy Tree Metric
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
30
4
0
20 Oct 2023
Normalizing Flows for Interventional Density Estimation
Normalizing Flows for Interventional Density Estimation
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
45
18
0
13 Sep 2022
Optimal transport for causal discovery
Optimal transport for causal discovery
Ruibo Tu
Kun Zhang
Hedvig Kjellström
Cheng Zhang
95
19
0
23 Jan 2022
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