On Deep Instrumental Variables Estimate

30 April 2020

Papers citing "On Deep Instrumental Variables Estimate"

18 / 18 papers shown

Title
Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation Connor Lennon Edward Rubin Glen Waddell 115 0 0 19 May 2025
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients Yuri S. Fonseca Caio Peixoto Yuri F. Saporito 220 5 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 155 6 0 25 Jul 2023
Multiclass classification for multidimensional functional data through deep neural networksElectronic Journal of Statistics (EJS), 2023 Shuoyang Wang Guanqun Cao 125 7 0 22 May 2023
Minimax optimal high-dimensional classification using deep neural networks Shuoyang Wang Zuofeng Shang 121 4 0 04 Mar 2023
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit FeedbackAAAI Conference on Artificial Intelligence (AAAI), 2023 R. D. Vecchia D. Basu 140 7 0 18 Feb 2023
Minimax Instrumental Variable Regression and $L_2$ Convergence Guarantees without Identification or ClosednessAnnual Conference Computational Learning Theory (COLT), 2023 Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 171 15 0 10 Feb 2023
Off-Policy Evaluation for Action-Dependent Non-Stationary EnvironmentsNeural Information Processing Systems (NeurIPS), 2023 Yash Chandak Shiv Shankar Nathaniel D. Bastian Bruno Castro da Silva Emma Brunskil Philip S. Thomas OffRL 143 6 0 24 Jan 2023
Semiparametric Regression for Spatial Data via Deep LearningSpatial Statistics (Spat. Stat.), 2023 Kexuan Li Jun Zhu A. Ives V. Radeloff Fangfang Wang 152 10 0 10 Jan 2023
Nonparametric regression with modified ReLU networks A. Beknazaryan Hailin Sang 94 0 0 17 Jul 2022
Minimax Optimal Deep Neural Network Classifiers Under Smooth Decision Boundary Tianyang Hu Ruiqi Liu Zuofeng Shang Guang Cheng 109 3 0 04 Jul 2022
Robust Deep Neural Network Estimation for Multi-dimensional Functional DataElectronic Journal of Statistics (EJS), 2022 Shuoyang Wang Guanqun Cao 3DPC OOD 101 4 0 19 May 2022
Deep Neural Network Classifier for Multi-dimensional Functional DataScandinavian Journal of Statistics (Scand. J. Stat.), 2022 Shuoyang Wang Guanqun Cao Zuofeng Shang 111 13 0 17 May 2022
Deep Feature Screening: Feature Selection for Ultra High-Dimensional Data via Deep Neural NetworksNeurocomputing (Neurocomputing), 2022 Kexuan Li Fangfang Wang Lingli Yang Ruiqi Liu 166 45 0 04 Apr 2022
Calibrating multi-dimensional complex ODE from noisy data via deep neural networksJournal of Statistical Planning and Inference (JSPI), 2021 Kexuan Li Fangfang Wang Ruiqi Liu Fan Yang Zuofeng Shang 110 7 0 07 Jun 2021
Semiparametric proximal causal inferenceJournal of the American Statistical Association (JASA), 2020 Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 264 121 0 17 Nov 2020
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models Jiafeng Chen Daniel L. Chen Greg Lewis CML 177 16 0 12 Nov 2020
Optimal Nonparametric Inference via Deep Neural Network Ruiqi Liu B. Boukai Zuofeng Shang 121 18 0 05 Feb 2019