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Functional Generalized Empirical Likelihood Estimation for Conditional
  Moment Restrictions
v1v2 (latest)

Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions

International Conference on Machine Learning (ICML), 2022
11 July 2022
Heiner Kremer
Jia-Jie Zhu
Krikamol Muandet
Bernhard Schölkopf
ArXiv (abs)PDFHTMLGithub (2★)

Papers citing "Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions"

8 / 8 papers shown
Nonparametric Jackknife Instrumental Variable Estimation and Confounding
  Robust Surrogate Indices
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices
Aurélien F. Bibaut
Nathan Kallus
Apoorva Lal
CML
316
0
0
20 Jun 2024
Geometry-Aware Instrumental Variable Regression
Geometry-Aware Instrumental Variable RegressionInternational Conference on Machine Learning (ICML), 2024
Heiner Kremer
Bernhard Schölkopf
347
0
0
19 May 2024
Posterior Sampling Based on Gradient Flows of the MMD with Negative
  Distance Kernel
Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance KernelInternational Conference on Learning Representations (ICLR), 2023
Paul Hagemann
J. Hertrich
Fabian Altekrüger
Robert Beinert
Jannis Chemseddine
Gabriele Steidl
477
32
0
04 Oct 2023
A Convex Framework for Confounding Robust Inference
A Convex Framework for Confounding Robust Inference
Kei Ishikawa
Naio He
Takafumi Kanamori
OffRL
356
0
0
21 Sep 2023
Understanding Deep Generative Models with Generalized Empirical
  Likelihoods
Understanding Deep Generative Models with Generalized Empirical LikelihoodsComputer Vision and Pattern Recognition (CVPR), 2023
Suman V. Ravuri
Mélanie Rey
S. Mohamed
M. Deisenroth
VLM
326
7
0
16 Jun 2023
Estimation Beyond Data Reweighting: Kernel Method of Moments
Estimation Beyond Data Reweighting: Kernel Method of MomentsInternational Conference on Machine Learning (ICML), 2023
Heiner Kremer
Yassine Nemmour
Bernhard Schölkopf
Jia-Jie Zhu
334
7
0
18 May 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference
Kernel Conditional Moment Constraints for Confounding Robust InferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Kei Ishikawa
Niao He
OffRL
279
3
0
26 Feb 2023
Spectral Representation Learning for Conditional Moment Models
Spectral Representation Learning for Conditional Moment Models
Ziyu Wang
Yucen Luo
Yueru Li
Chao Ding
Bernhard Schölkopf
CML
354
13
0
29 Oct 2022
1
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