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Minimax Instrumental Variable Regression and $L_2$ Convergence
  Guarantees without Identification or Closedness

Minimax Instrumental Variable Regression and L2L_2L2​ Convergence Guarantees without Identification or Closedness

Annual Conference Computational Learning Theory (COLT), 2023
10 February 2023
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
ArXiv (abs)PDFHTMLGithub

Papers citing "Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or Closedness"

13 / 13 papers shown
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression
Dimitri Meunier
Jakub Wornbard
Vladimir Kostic
Antoine Moulin
Alek Fröhlich
Karim Lounici
Massimiliano Pontil
Arthur Gretton
CML
145
2
0
30 Nov 2025
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
418
4
0
12 Jun 2025
Detecting clinician implicit biases in diagnoses using proximal causal inference
Detecting clinician implicit biases in diagnoses using proximal causal inferencePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing (PSB), 2024
Kara Liu
Russ Altman
Vasilis Syrgkanis
CML
307
2
0
27 Jan 2025
Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
Lars van der Laan
David Hubbard
Allen Tran
Nathan Kallus
Aurélien F. Bibaut
OffRL
503
0
0
12 Jan 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
358
11
0
15 Jul 2024
Targeted Sequential Indirect Experiment Design
Targeted Sequential Indirect Experiment Design
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
440
3
0
30 May 2024
Regularized DeepIV with Model Selection
Regularized DeepIV with Model Selection
Zihao Li
Hui Lan
Vasilis Syrgkanis
Mengdi Wang
Masatoshi Uehara
264
6
0
07 Mar 2024
Nonparametric Instrumental Variable Regression through Stochastic
  Approximate Gradients
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Yuri S. Fonseca
Caio Peixoto
Yuri F. Saporito
400
6
0
08 Feb 2024
Source Condition Double Robust Inference on Functionals of Inverse
  Problems
Source Condition Double Robust Inference on Functionals of Inverse Problems
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
254
10
0
25 Jul 2023
Partial Identification of Causal Effects Using Proxy Variables
Partial Identification of Causal Effects Using Proxy Variables
AmirEmad Ghassami
I. Shpitser
E. T. Tchetgen
CML
374
13
0
10 Apr 2023
Future-Dependent Value-Based Off-Policy Evaluation in POMDPs
Future-Dependent Value-Based Off-Policy Evaluation in POMDPsNeural Information Processing Systems (NeurIPS), 2022
Masatoshi Uehara
Haruka Kiyohara
Andrew Bennett
Victor Chernozhukov
Nan Jiang
Nathan Kallus
C. Shi
Wen Sun
OffRL
509
25
0
26 Jul 2022
Instrumental Variable Estimation for Compositional Treatments
Instrumental Variable Estimation for Compositional TreatmentsScientific Reports (Sci Rep), 2021
Elisabeth Ailer
Christian L. Müller
Niki Kilbertus
CML
228
4
0
21 Jun 2021
Is completeness necessary? Estimation in nonidentified linear models
Is completeness necessary? Estimation in nonidentified linear models
Andrii Babii
J. Florens
517
10
0
11 Sep 2017
1
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