Fetching the paper…
Reading the bibliography…
We present a novel algorithm for non-linear instrumental variable (IV) regression, DualIV, which simplifies traditional two-stage methods via a dual formulation.
Convex analysis
R. Tyrrell Rockafellar · 1970
Earlier work this paper cites.
Joint measures and cross-covariance operators
Charles R. Baker · 1973
Earlier work this paper cites.
Generalized inverses in reproducing kernel spaces: An approach to regularization of linear operator equations
M. Nashed and G. Wahba · 1974
Earlier work this paper cites.
Estimating causal effects of treatments in randomized and nonrandomized studies
D.B. Rubin · 1974
Earlier work this paper cites.
Instrumental variables regression with independent observations
Halbert White · 1982
Earlier work this paper cites.
Large sample properties of generalized method of moments estimators
Lars Peter Hansen · 1982
Earlier work this paper cites.
Linear Integral Equations , volume 3
Reiner Kress · 1989
Earlier work this paper cites.
Does Compulsory School Attendance Affect Schooling and Earnings?
Joshua D. Angrist and Alan B. Keueger · 1991
Earlier work this paper cites.
Split sample instrumental variables
Joshua D. Angrist and Alan B. Krueger · 1993
Earlier work this paper cites.
Problems with instrumental variables estimation when the correlation between the instruments and the endogeneous explanatory variable is weak
John Bound, David A. Jaeger, and Regina M. Baker · 1995
Earlier work this paper cites.
Identification of causal effects using instrumental variables
Joshua D. Angrist, Guido W. Imbens, and Donald B. Rubin · 1996
Earlier work this paper cites.
Instrumental variables regression with weak instruments
Douglas Staiger and James H. Stock · 1997
Earlier work this paper cites.
Statistical Learning Theory
Vladimir N. Vapnik · 1998
Earlier work this paper cites.
Variational Analysis
R. Tyrrell Rockafellar and Roger J.-B. Wets · 1998
Earlier work this paper cites.
The causal effect of education on earnings
David Card · 1999
Earlier work this paper cites.
Causality: Models, Reasoning, and Inference
Judea Pearl · 2000
Earlier work this paper cites.
Econometric Analysis of Cross Section and Panel Data , volume 1 of MIT Press Books
Jeffrey M. Wooldridge · 2001
Earlier work this paper cites.
A generalized representer theorem
B. Schölkopf, R. Herbrich, and AJ. Smola · 2001
Cited alongside, same era.
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Bernhard Schölkopf and Alexander Smola · 2002
Cited alongside, same era.
Instrumental variable estimation of nonparametric models
Whitney K. Newey and James L. Powell · 2003
Cited alongside, same era.
Dimensionality reduction for supervised learning with reproducing kernel Hilbert spaces
Kenji Fukumizu, Francis Bach, and Michael Jordan · 2004
Cited alongside, same era.
Causal inference using potential outcomes
Donald Rubin · 2005
Cited alongside, same era.
Nonparametric methods for inference in the presence of instrumental variables
Peter Hall and Joel L. Horowitz · 2005
Cited alongside, same era.
Kernel Bayes’ rule: Bayesian inference with positive definite kernels
K. Fukumizu, L. Song, and A. Gretton · 2013
Later among the works it cites.
Lectures on Stochastic Programming: Modeling and Theory, Second Edition
Alexander Shapiro, Darinka Dentcheva, and Andrzej Ruszczynski · 2014
Later among the works it cites.
Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
Guido W. Imbens and Donald B. Rubin · 2015
Later among the works it cites.
A review of instrumental variable estimators for Mendelian randomization
Stephen Burgess, Dylan S Small, and Simon G Thompson · 2017
Later among the works it cites.
Deep IV: A flexible approach for counterfactual prediction
Jason Hartford, Greg Lewis, Kevin Leyton-Brown, and Matt Taddy · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Generalized Method of Moments
A.R. Hall · 2005
Cited alongside, same era.
Semi-nonparametric IV estimation of shape-invariant Engel curves
Richard Blundell, Xiaohong Chen, and Dennis Kristensen · 2007
Cited alongside, same era.
Mostly Harmless Econometrics: An Empiricist’s Companion
Joshua D. Angrist and Jörn-Steffen Pischke · 2008
Cited alongside, same era.
Introduction to Nonparametric Estimation
Alexandre Tsybakov · 2008
Cited alongside, same era.
Support Vector Machines
I. Steinwart and A. Christmann · 2008
Cited alongside, same era.
Causal inference in statistics: An overview
Judea Pearl · 2009
Cited alongside, same era.
Jonas Peters, Dominik Janzing, and Bernhard Schölkopf · 2017
Later among the works it cites.
Learning from Conditional Distributions via Dual Embeddings
Bo Dai, Niao He, Yunpeng Pan, Byron Boots, and Le Song · 2017
Later among the works it cites.
Kernel mean embedding of distributions: A review and beyond
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, and Bernhard Schölkopf · 2017
Later among the works it cites.
Optimal sup-norm rates and uniform inference on nonlinear functionals of nonparametric IV regression
Xiaohong Chen and Timothy M. Christensen · 2018
Later among the works it cites.
Adversarial generalized method of moments
Greg Lewis and Vasilis Syrgkanis · 2018
Later among the works it cites.
Double/debiased machine learning for treatment and structural parameters
Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen, Whitney Newey, and James Robins · 2018
Later among the works it cites.
Kernel instrumental variable regression
Rahul Singh, Maneesh Sahani, and Arthur Gretton · 2019
Closest in time.
Bayesian deconditional kernel mean embeddings
Kelvin Hsu and Fabio Ramos · 2019
Closest in time.
Deep generalized method of moments for instrumental variable analysis
Andrew Bennett, Nathan Kallus, and Tobias Schnabel · 2019
Closest in time.
Kernel conditional moment test via maximum moment restriction
Krikamol Muandet, Wittawat Jitkrittum, and Jonas Kübler · 2020
Closest in time.
Provably efficient neural estimation of structural equation model: An adversarial approach
Luofeng Liao, You-Lin Chen, Zhuoran Yang, Bo Dai, Zhaoran Wang, and Mladen Kolar · 2020
Closest in time.