Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2007.01290
Cited By
v1
v2
v3 (latest)
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
2 July 2020
Luofeng Liao
You-Lin Chen
Zhuoran Yang
Bo Dai
Zhaoran Wang
Mladen Kolar
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach"
26 / 26 papers shown
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
Dimitri Meunier
Antoine Moulin
Jakub Wornbard
Vladimir R. Kostic
Arthur Gretton
CML
418
4
0
12 Jun 2025
Causal Inference with Complex Treatments: A Survey
Yingrong Wang
Haoxuan Li
Minqin Zhu
Anpeng Wu
Ruoxuan Xiong
Leilei Gan
Kun Kuang
CML
206
4
0
19 Jul 2024
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
Elisabeth Ailer
Niclas Dern
Jason S. Hartford
Niki Kilbertus
440
3
0
30 May 2024
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
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
254
10
0
25 Jul 2023
Minimax Instrumental Variable Regression and
L
2
L_2
L
2
Convergence Guarantees without Identification or Closedness
Annual Conference Computational Learning Theory (COLT), 2023
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
337
18
0
10 Feb 2023
Instrumental Variables in Causal Inference and Machine Learning: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Anpeng Wu
Kun Kuang
Ruoxuan Xiong
Leilei Gan
SyDa
CML
308
19
0
12 Dec 2022
Spectral Representation Learning for Conditional Moment Models
Ziyu Wang
Yucen Luo
Yueru Li
Chao Ding
Bernhard Schölkopf
CML
354
13
0
29 Oct 2022
Dual Instrumental Method for Confounded Kernelized Bandits
Xueping Gong
Jiheng Zhang
231
1
0
07 Sep 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions
Annual Conference Computational Learning Theory (COLT), 2022
Andrew Bennett
Nathan Kallus
Xiaojie Mao
Whitney Newey
Vasilis Syrgkanis
Masatoshi Uehara
438
23
0
17 Aug 2022
Fast Instrument Learning with Faster Rates
Neural Information Processing Systems (NeurIPS), 2022
Ziyu Wang
Yuhao Zhou
Chao Ding
425
5
0
22 May 2022
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes
Operational Research (OR), 2021
Andrew Bennett
Nathan Kallus
OffRL
262
58
0
28 Oct 2021
Approximate Last Iterate Convergence in Overparameterized GANs
Elbert Du
175
0
0
07 Aug 2021
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
Masahiro Kato
Masaaki Imaizumi
K. McAlinn
Haruo Kakehi
Shota Yasui
CML
290
7
0
03 Aug 2021
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
Neural Information Processing Systems (NeurIPS), 2021
Liyuan Xu
Heishiro Kanagawa
Arthur Gretton
CML
424
46
0
07 Jun 2021
Instrument Space Selection for Kernel Maximum Moment Restriction
Rui Zhang
Krikamol Muandet
Bernhard Schölkopf
Masaaki Imaizumi
184
3
0
07 Jun 2021
On Instrumental Variable Regression for Deep Offline Policy Evaluation
Journal of machine learning research (JMLR), 2021
Yutian Chen
Liyuan Xu
Çağlar Gülçehre
T. Paine
Arthur Gretton
Nando de Freitas
Arnaud Doucet
OffRL
339
24
0
21 May 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction
International Conference on Machine Learning (ICML), 2021
Afsaneh Mastouri
Yuchen Zhu
Limor Gultchin
Anna Korba
Ricardo M. A. Silva
Matt J. Kusner
Arthur Gretton
Krikamol Muandet
CML
660
78
0
10 May 2021
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
AmirEmad Ghassami
Andrew Ying
I. Shpitser
E. T. Tchetgen
334
48
0
07 Apr 2021
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
CML
451
75
0
25 Mar 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Luofeng Liao
Zuyue Fu
Zhuoran Yang
Yixin Wang
Mladen Kolar
Zhaoran Wang
OffRL
345
39
0
19 Feb 2021
An Adaptive Stochastic Sequential Quadratic Programming with Differentiable Exact Augmented Lagrangians
Mathematical programming (Math. Program.), 2021
Sen Na
M. Anitescu
Mladen Kolar
352
58
0
10 Feb 2021
Mathematical Models of Overparameterized Neural Networks
Proceedings of the IEEE (Proc. IEEE), 2020
Cong Fang
Hanze Dong
Tong Zhang
334
26
0
27 Dec 2020
Is completeness necessary? Estimation in nonidentified linear models
Andrii Babii
J. Florens
515
10
0
11 Sep 2017
1
Page 1 of 1
