Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1309.4686
Cited By
v1
v2
v3 (latest)
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations
18 September 2013
M. Farrell
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations"
45 / 95 papers shown
Title
Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application
Andrii Babii
Ryan T. Ball
Eric Ghysels
Jonas Striaukas
57
15
0
08 Aug 2020
Ensemble Learning with Statistical and Structural Models
Jiaming Mao
Jingzhi Xu
35
1
0
07 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects
Edward H. Kennedy
CML
196
328
0
29 Apr 2020
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding
Zijian Guo
Domagoj Cevid
Peter Buhlmann
CML
69
39
0
08 Apr 2020
High-dimensional mixed-frequency IV regression
Andrii Babii
60
9
0
30 Mar 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
Nathan Kallus
Xiaojie Mao
Masatoshi Uehara
68
27
0
30 Dec 2019
Minimax Semiparametric Learning With Approximate Sparsity
Jelena Bradic
Victor Chernozhukov
Whitney Newey
Yinchu Zhu
91
23
0
27 Dec 2019
Confounder Selection via Support Intersection
Shinyuu Lee
Yuru Zhu
CML
26
0
0
25 Dec 2019
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek Chakrabortty
Jiarui Lu
T. Tony Cai
Hongzhe Li
45
6
0
26 Nov 2019
An introduction to flexible methods for policy evaluation
M. Huber
CML
69
7
0
01 Oct 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models
Zijian Guo
Wei Yuan
Cun-Hui Zhang
47
2
0
30 Jul 2019
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates
Jue Hou
Jelena Bradic
R. Xu
CML
37
1
0
29 Jun 2019
Policy Targeting under Network Interference
Davide Viviano
202
34
0
24 Jun 2019
Sparsity Double Robust Inference of Average Treatment Effects
Jelena Bradic
Stefan Wager
Yinchu Zhu
CML
65
40
0
02 May 2019
A unifying approach for doubly-robust
ℓ
1
\ell_1
ℓ
1
regularized estimation of causal contrasts
Ezequiel Smucler
A. Rotnitzky
J. M. Robins
CML
85
80
0
07 Apr 2019
Characterization of parameters with a mixed bias property
A. Rotnitzky
Ezequiel Smucler
J. M. Robins
82
67
0
07 Apr 2019
Omitted variable bias of Lasso-based inference methods: A finite sample analysis
Kaspar Wüthrich
Ying Zhu
86
27
0
20 Mar 2019
Machine learning in policy evaluation: new tools for causal inference
N. Kreif
K. DiazOrdaz
ELM
CML
76
46
0
01 Mar 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score
Y. Ning
Sida Peng
Kosuke Imai
63
87
0
20 Dec 2018
MALTS: Matching After Learning to Stretch
Harsh Parikh
Cynthia Rudin
A. Volfovsky
82
25
0
18 Nov 2018
Debiased Inference of Average Partial Effects in Single-Index Models
David A. Hirshberg
Stefan Wager
CML
53
13
0
06 Nov 2018
Robust Inference Using Inverse Probability Weighting
Xinwei Ma
Jingshen Wang
78
95
0
26 Oct 2018
Offline Multi-Action Policy Learning: Generalization and Optimization
Zhengyuan Zhou
Susan Athey
Stefan Wager
OffRL
82
122
0
10 Oct 2018
Deep Neural Networks for Estimation and Inference
M. Farrell
Tengyuan Liang
S. Misra
BDL
186
256
0
26 Sep 2018
Automatic Debiased Machine Learning of Causal and Structural Effects
Victor Chernozhukov
Whitney Newey
Rahul Singh
CML
AI4CE
84
107
0
14 Sep 2018
Two-Step Estimation and Inference with Possibly Many Included Covariates
M. D. Cattaneo
Michael Jansson
Xinwei Ma
CML
58
68
0
26 Jul 2018
Interpretable Almost Matching Exactly for Causal Inference
Yameng Liu
Awa Dieng
Sudeepa Roy
Cynthia Rudin
A. Volfovsky
21
2
0
18 Jun 2018
High-Dimensional Econometrics and Regularized GMM
A. Belloni
Victor Chernozhukov
Denis Chetverikov
Christian B. Hansen
Kengo Kato
97
67
0
05 Jun 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data
Z. Tan
71
88
0
30 Jan 2018
Overlap in Observational Studies with High-Dimensional Covariates
Alexander DÁmour
Peng Ding
Avi Feller
Lihua Lei
Jasjeet Sekhon
182
194
0
07 Nov 2017
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
Tianyu Wang
Cynthia Rudin
M. Usaid Awan
Yameng Liu
Sudeepa Roy
Cynthia Rudin
A. Volfovsky
133
51
0
19 Jul 2017
Targeted Undersmoothing
Christian B. Hansen
Damian Kozbur
S. Misra
65
13
0
22 Jun 2017
Model-Robust Counterfactual Prediction Method
Dave Zachariah
Petre Stoica
26
0
0
19 May 2017
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores
Jelena Bradic
Mladen Kolar
79
25
0
20 Feb 2017
Policy Learning with Observational Data
Susan Athey
Stefan Wager
CML
OffRL
459
183
0
09 Feb 2017
Locally Robust Semiparametric Estimation
Victor Chernozhukov
J. Escanciano
Hidehiko Ichimura
Whitney Newey
J. M. Robins
138
210
0
29 Jul 2016
High-dimensional regression adjustments in randomized experiments
Stefan Wager
Wenfei Du
Jonathan E. Taylor
Robert Tibshirani
299
117
0
22 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk
A. Belloni
Mingli Chen
Victor Chernozhukov
82
7
0
01 Jul 2016
Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects
Chad Hazlett
CML
50
28
0
30 Apr 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions
Susan Athey
Guido Imbens
Stefan Wager
CML
513
390
0
25 Apr 2016
Inference in Linear Regression Models with Many Covariates and Heteroskedasticity
M. D. Cattaneo
Michael Jansson
Whitney Newey
61
122
0
09 Jul 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model
Junwei Lu
Mladen Kolar
Han Liu
97
23
0
10 Mar 2015
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models
Rina Foygel Barber
Mladen Kolar
94
47
0
26 Feb 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Victor Chernozhukov
Christian B. Hansen
Martin Spindler
238
176
0
14 Jan 2015
Program Evaluation and Causal Inference with High-Dimensional Data
A. Belloni
Victor Chernozhukov
Iván Fernández-Val
Christian B. Hansen
CML
252
359
0
11 Nov 2013
Previous
1
2