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Instrumental Variable Regression via Kernel Maximum Moment Loss
v1v2v3v4 (latest)

Instrumental Variable Regression via Kernel Maximum Moment Loss

15 October 2020
Rui Zhang
Masaaki Imaizumi
Bernhard Schölkopf
Krikamol Muandet
ArXiv (abs)PDFHTML

Papers citing "Instrumental Variable Regression via Kernel Maximum Moment Loss"

6 / 6 papers shown
Title
Demystifying Spectral Feature Learning for Instrumental Variable Regression
Demystifying Spectral Feature Learning for Instrumental Variable Regression
Dimitri Meunier
Antoine Moulin
Jakub Wornbard
Vladimir R. Kostic
Arthur Gretton
CML
141
0
0
12 Jun 2025
Spectral Representation for Causal Estimation with Hidden Confounders
Spectral Representation for Causal Estimation with Hidden Confounders
Zhaolin Ren
Haotian Sun
Antoine Moulin
Arthur Gretton
Bo Dai
CML
127
3
0
15 Jul 2024
Targeted Sequential Indirect Experiment Design
Targeted Sequential Indirect Experiment Design
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
113
3
0
30 May 2024
Bounding Causal Effects with Leaky Instruments
Bounding Causal Effects with Leaky Instruments
David S. Watson
Jordan Penn
L. Gunderson
Gecia Bravo Hermsdorff
Afsaneh Mastouri
Ricardo M. A. Silva
CML
56
1
0
05 Apr 2024
Regularized DeepIV with Model Selection
Regularized DeepIV with Model Selection
Zihao Li
Hui Lan
Vasilis Syrgkanis
Mengdi Wang
Masatoshi Uehara
103
3
0
07 Mar 2024
Functional Generalized Empirical Likelihood Estimation for Conditional
  Moment Restrictions
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions
Heiner Kremer
Jia-Jie Zhu
Krikamol Muandet
Bernhard Schölkopf
82
8
0
11 Jul 2022
1