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Counterfactual Mean Embeddings

Counterfactual Mean Embeddings

22 May 2018
Krikamol Muandet
Motonobu Kanagawa
Sorawit Saengkyongam
S. Marukatat
    CML
    OffRL
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Papers citing "Counterfactual Mean Embeddings"

13 / 13 papers shown
Title
A Dictionary of Closed-Form Kernel Mean Embeddings
A Dictionary of Closed-Form Kernel Mean Embeddings
F. Briol
A. Gessner
Toni Karvonen
Maren Mahsereci
BDL
90
1
0
26 Apr 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
58
3
0
05 Nov 2024
A Neural Framework for Generalized Causal Sensitivity Analysis
A Neural Framework for Generalized Causal Sensitivity Analysis
Dennis Frauen
F. Imrie
Alicia Curth
Valentyn Melnychuk
Stefan Feuerriegel
M. Schaar
CML
33
10
0
27 Nov 2023
Causal survival embeddings: non-parametric counterfactual inference
  under censoring
Causal survival embeddings: non-parametric counterfactual inference under censoring
Carlos García-Meixide
Marcos Matabuena
CML
40
5
0
20 Jun 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Diego Martinez-Taboada
Aaditya Ramdas
Edward H. Kennedy
OOD
31
5
0
26 Apr 2023
A Layered Architecture for Universal Causality
A Layered Architecture for Universal Causality
Sridhar Mahadevan
AI4CE
14
0
0
18 Dec 2022
On the Relationship Between Explanation and Prediction: A Causal View
On the Relationship Between Explanation and Prediction: A Causal View
Amir-Hossein Karimi
Krikamol Muandet
Simon Kornblith
Bernhard Schölkopf
Been Kim
FAtt
CML
40
14
0
13 Dec 2022
Doubly Robust Kernel Statistics for Testing Distributional Treatment
  Effects
Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects
Jake Fawkes
Robert Hu
R. Evans
Dino Sejdinovic
OOD
33
3
0
09 Dec 2022
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation
Diego Martinez-Taboada
Dino Sejdinovic
CML
OffRL
25
0
0
02 Nov 2022
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh
Liyuan Xu
Arthur Gretton
34
3
0
06 Nov 2021
Kernel Methods for Causal Functions: Dose, Heterogeneous, and
  Incremental Response Curves
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves
Rahul Singh
Liyuan Xu
Arthur Gretton
OffRL
68
27
0
10 Oct 2020
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
232
720
0
12 May 2016
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
Arthur Gretton
Massimiliano Pontil
85
143
0
21 May 2012
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