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1806.02935
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Causal effects based on distributional distances
8 June 2018
Kwangho Kim
Jisu Kim
Edward H. Kennedy
CML
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Papers citing
"Causal effects based on distributional distances"
14 / 14 papers shown
GDR-learners: Orthogonal Learning of Generative Models for Potential Outcomes
Valentyn Melnychuk
Stefan Feuerriegel
129
0
0
26 Sep 2025
Counterfactual Probabilistic Diffusion with Expert Models
Wenhao Mu
Zhi Cao
Mehmed Uludag
Alexander Rodríguez
DiffM
251
1
0
18 Aug 2025
Moments of Causal Effects
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yuta Kawakami
Jin Tian
CML
243
3
0
08 May 2025
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
Neural Information Processing Systems (NeurIPS), 2024
Valentyn Melnychuk
Stefan Feuerriegel
Mihaela van der Schaar
CML
642
9
0
05 Nov 2024
Hierarchical and Density-based Causal Clustering
Neural Information Processing Systems (NeurIPS), 2024
Kwangho Kim
Jisu Kim
Larry A. Wasserman
Edward H. Kennedy
CML
345
4
0
02 Nov 2024
Learning Counterfactual Distributions via Kernel Nearest Neighbors
Kyuseong Choi
Jacob Feitelberg
Caleb Chin
Anish Agarwal
Raaz Dwivedi
OOD
OffRL
847
2
0
17 Oct 2024
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
CLEaR (CLEaR), 2023
Thong Pham
Shohei Shimizu
H. Hino
Tam Le
231
6
0
02 Nov 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
International Conference on Machine Learning (ICML), 2023
K. Kim
J. Zubizarreta
411
12
0
06 Jun 2023
Counterfactual Generative Models for Time-Varying Treatments
Knowledge Discovery and Data Mining (KDD), 2023
Shenghao Wu
Wen-liang Zhou
Minshuo Chen
Shixiang Zhu
DiffM
CML
569
13
0
25 May 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Neural Information Processing Systems (NeurIPS), 2023
Diego Martinez-Taboada
Aaditya Ramdas
Edward H. Kennedy
OOD
358
16
0
26 Apr 2023
A Bayesian Semiparametric Method For Estimating Causal Quantile Effects
Steven G. Xu
Shu Yang
Brian J. Reich
CML
197
1
0
03 Nov 2022
Normalizing Flows for Interventional Density Estimation
International Conference on Machine Learning (ICML), 2022
Valentyn Melnychuk
Dennis Frauen
Stefan Feuerriegel
499
25
0
13 Sep 2022
Semiparametric counterfactual density estimation
Biometrika (Biometrika), 2021
Edward H. Kennedy
Sivaraman Balakrishnan
Larry A. Wasserman
306
72
0
24 Feb 2021
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression
International Conference on Machine Learning (ICML), 2021
Junhyung Park
Uri Shalit
Bernhard Schölkopf
Krikamol Muandet
CML
373
46
0
16 Feb 2021
1
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