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Rahul Singh
Rahul Singh
Verified email at fas.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Debiased machine learning of global and local parameters using regularized Riesz representers
V Chernozhukov, WK Newey, R Singh
The Econometrics Journal 25 (3), 576--601, 2022
313*2022
Kernel instrumental variable regression
R Singh, M Sahani, A Gretton
Advances in Neural Information Processing Systems, 4593-4605, 2019
1692019
Automatic Debiased Machine Learning of Causal and Structural Effects
V Chernozhukov, WK Newey, R Singh
Econometrica 90 (3), 967-1027, 2022
128*2022
Adversarial Estimation of Riesz Representers
V Chernozhukov, W Newey, R Singh, V Syrgkanis
arXiv preprint arXiv:2101.00009, 2020
422020
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
R Singh
arXiv preprint arXiv:2012.10315, 2020
382020
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves
R Singh, L Xu, A Gretton
arXiv preprint arXiv:2010.04855, 2020
38*2020
Double robustness for complier parameters and a semi-parametric test for complier characteristics
R Singh, L Sun
The Econometrics Journal 27 (1), 1-20, 2024
27*2024
A simple and general debiased machine learning theorem with finite-sample guarantees
V Chernozhukov, WK Newey, R Singh
Biometrika 110 (1), 257-264, 2023
262023
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
A Agarwal, R Singh
arXiv preprint arXiv:2107.02780, 2021
182021
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
R Singh, L Xu, A Gretton
arXiv preprint arXiv:2111.03950, 2021
16*2021
A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects
R Singh
arXiv preprint arXiv:2112.14249, 2021
92021
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
V Chernozhukov, W Newey, R Singh, V Syrgkanis
arXiv preprint arXiv:2203.13887, 2022
8*2022
Debiased Kernel Methods
R Singh
arXiv preprint arXiv:2102.11076, 2021
82021
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection
R Singh
arXiv preprint arXiv:2111.05277, 2021
42021
Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions
R Singh
arXiv preprint arXiv:2201.05139, 2022
22022
Automatic Debiased Machine Learning for Covariate Shifts
V Chernozhukov, M Newey, WK Newey, R Singh, V Syrgkanis
arXiv preprint arXiv:2307.04527, 2023
1*2023
Kernel Ridge Regression Inference
R Singh, S Vijaykumar
arXiv preprint arXiv:2302.06578, 2023
12023
Causal Inference Tutorial
R Singh
MIT Technical Report, 2019
12019
Causal Inference with Machine Learning
V Chernozhukov, MD Cinelli, E Duflo, I Fernandez-Val, C Hansen, ...
2022
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