Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1608.00033
Cited By
v1
v2
v3
v4 (latest)
Locally Robust Semiparametric Estimation
29 July 2016
Victor Chernozhukov
J. Escanciano
Hidehiko Ichimura
Whitney Newey
J. M. Robins
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Locally Robust Semiparametric Estimation"
50 / 65 papers shown
Learning density ratios in causal inference using Bregman-Riesz regression
Oliver J. Hines
Caleb H. Miles
CML
138
3
0
17 Oct 2025
Beyond the Average: Distributional Causal Inference under Imperfect Compliance
Undral Byambadalai
Tomu Hirata
Tatsushi Oka
Shota Yasui
131
1
0
19 Sep 2025
On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization
Undral Byambadalai
Tomu Hirata
Tatsushi Oka
Shota Yasui
125
5
0
06 Jun 2025
The Post Double LASSO for Efficiency Analysis
Christopher Parmeter
Artem Prokhorov
Valentin Zelenyuk
151
0
0
20 May 2025
Transformer Meets Twicing: Harnessing Unattended Residual Information
International Conference on Learning Representations (ICLR), 2025
Laziz U. Abdullaev
Tan M. Nguyen
565
4
0
02 Mar 2025
Linear Multidimensional Regression with Interactive Fixed-Effects
Hugo Freeman
295
0
0
10 Jan 2025
Estimating Distributional Treatment Effects in Randomized Experiments: Machine Learning for Variance Reduction
Undral Byambadalai
Tatsushi Oka
Shota Yasui
CML
185
6
0
22 Jul 2024
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa
Yi Li
Yulun Wu
Sky Qiu
Yuxuan Li
Mingduo Zhao
Hiroyasu Iso
Mark van der Laan
259
6
0
05 Apr 2024
Statistical Inference of Optimal Allocations I: Regularities and their Implications
Kai Feng
Han Hong
Denis Nekipelov
195
2
0
27 Mar 2024
Diffusion Model for Data-Driven Black-Box Optimization
Zihao Li
Hui Yuan
Kaixuan Huang
Chengzhuo Ni
Yinyu Ye
Minshuo Chen
Mengdi Wang
DiffM
246
20
0
20 Mar 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
Jikai Jin
Vasilis Syrgkanis
CML
551
6
0
22 Feb 2024
Inference for Rank-Rank Regressions
Denis Chetverikov
Daniel Wilhelm
160
11
0
24 Oct 2023
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
Aaron Fisher
CML
299
2
0
19 Jul 2023
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets
Social Science Research Network (SSRN), 2023
Amandeep Singh
Ye Liu
Hema Yoganarasimhan
256
2
0
13 Jul 2023
Three-way Cross-Fitting and Pseudo-Outcome Regression for Estimation of Conditional Effects and other Linear Functionals
Aaron Fisher
Virginia Fisher
142
3
0
12 Jun 2023
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
Neural Information Processing Systems (NeurIPS), 2023
Naoki Egami
Musashi Jacobs-Harukawa
Brandon M Stewart
Hanying Wei
284
33
0
07 Jun 2023
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
Zihao Li
Zhuoran Yang
Mengdi Wang
OffRL
489
81
0
29 May 2023
Inference on Optimal Dynamic Policies via Softmax Approximation
Qizhao Chen
Morgane Austern
Vasilis Syrgkanis
OffRL
385
4
0
08 Mar 2023
Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap
Social Science Research Network (SSRN), 2023
Ganesh Karapakula
248
0
0
13 Jan 2023
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
Journal of Econometrics (JE), 2022
M. D. Cattaneo
M. Farrell
Michael Jansson
Ricardo P. Masini
156
2
0
31 Dec 2022
Orthogonal Series Estimation for the Ratio of Conditional Expectation Functions
Kazuhiko Shinoda
T. Hoshino
CML
184
0
0
26 Dec 2022
Partly Linear Instrumental Variables Regressions without Smoothing on the Instruments
Test (Madrid) (TM), 2022
J. Florens
Elia Lapenta
119
1
0
21 Dec 2022
Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding
Ashesh Rambachan
Amanda Coston
Edward H. Kennedy
420
5
0
19 Dec 2022
Reconciling model-X and doubly robust approaches to conditional independence testing
Annals of Statistics (Ann. Stat.), 2022
Ziang Niu
Abhinav Chakraborty
O. Dukes
Eugene Katsevich
217
11
0
27 Nov 2022
Data-Driven Influence Functions for Optimization-Based Causal Inference
Michael I. Jordan
Yixin Wang
Angela Zhou
296
3
0
29 Aug 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
365
21
0
17 Aug 2022
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings
Social Science Research Network (SSRN), 2022
E. Barzegary
Hema Yoganarasimhan
212
3
0
02 Aug 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators
Neural Information Processing Systems (NeurIPS), 2022
Qizhao Chen
Vasilis Syrgkanis
Morgane Austern
CML
310
22
0
03 Jun 2022
Encompassing Tests for Nonparametric Regressions
Econometric Theory (ET), 2022
Elia Lapenta
P. Lavergne
183
0
0
13 Mar 2022
Weighted-average quantile regression
Social Science Research Network (SSRN), 2022
Denis Chetverikov
Yukun Liu
Aleh Tsyvinski
69
6
0
06 Mar 2022
Unified Perspective on Probability Divergence via Maximum Likelihood Density Ratio Estimation: Bridging KL-Divergence and Integral Probability Metrics
Masahiro Kato
Masaaki Imaizumi
Kentaro Minami
188
0
0
31 Jan 2022
Individual Treatment Effect Estimation Through Controlled Neural Network Training in Two Stages
Naveen Nair
Karthik S. Gurumoorthy
Dinesh Mandalapu
CML
125
4
0
21 Jan 2022
Long Story Short: Omitted Variable Bias in Causal Machine Learning
Social Science Research Network (SSRN), 2021
Victor Chernozhukov
Carlos Cinelli
Whitney Newey
Amit Sharma
Vasilis Syrgkanis
CML
433
53
0
26 Dec 2021
Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
Journal of the American Statistical Association (JASA), 2021
Steve Yadlowsky
S. Fleming
N. Shah
Emma Brunskill
Stefan Wager
212
81
0
15 Nov 2021
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection
Rahul Singh
207
1
0
09 Nov 2021
Efficient Estimation in NPIV Models: A Comparison of Various Neural Networks-Based Estimators
Jiafeng Chen
Xiaohong Chen
E. Tamer
423
12
0
13 Oct 2021
Sparsity in Partially Controllable Linear Systems
International Conference on Machine Learning (ICML), 2021
Yonathan Efroni
Sham Kakade
A. Krishnamurthy
Cyril Zhang
332
13
0
12 Oct 2021
Semiparametric Estimation of Long-Term Treatment Effects
Journal of Econometrics (JE), 2021
Jiafeng Chen
David M. Ritzwoller
459
23
0
30 Jul 2021
Automatic Debiased Machine Learning via Riesz Regression
Victor Chernozhukov
Whitney Newey
Victor Quintas-Martinez
Vasilis Syrgkanis
OOD
CML
302
23
0
30 Apr 2021
Knowledge Distillation as Semiparametric Inference
International Conference on Learning Representations (ICLR), 2021
Tri Dao
G. Kamath
Vasilis Syrgkanis
Lester W. Mackey
219
36
0
20 Apr 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
273
48
0
07 Apr 2021
Estimating the Long-Term Effects of Novel Treatments
Neural Information Processing Systems (NeurIPS), 2021
Keith Battocchi
E. Dillon
Maggie Hei
Greg Lewis
Miruna Oprescu
Vasilis Syrgkanis
CML
235
12
0
15 Mar 2021
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
Rahul Singh
CML
526
42
0
18 Dec 2020
Semiparametric proximal causal inference
Journal of the American Statistical Association (JASA), 2020
Yifan Cui
Hongming Pu
Xu Shi
Wang Miao
E. T. Tchetgen Tchetgen
434
128
0
17 Nov 2020
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models
Jiafeng Chen
Daniel L. Chen
Greg Lewis
CML
246
16
0
12 Nov 2020
Targeting for long-term outcomes
Management Sciences (MS), 2020
Jeremy Yang
Dean Eckles
Paramveer S. Dhillon
Sinan Aral
OffRL
267
55
0
29 Oct 2020
Local Regression Distribution Estimators
M. D. Cattaneo
Michael Jansson
Xinwei Ma
245
36
0
30 Sep 2020
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data
Y. Ning
Sida Peng
Jing Tao
215
6
0
07 Sep 2020
Estimating Structural Target Functions using Machine Learning and Influence Functions
Alicia Curth
Ahmed Alaa
M. Schaar
CML
TDI
217
3
0
14 Aug 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
International Conference on Machine Learning (ICML), 2020
Masahiro Kato
Takeshi Teshima
362
49
0
12 Jun 2020
1
2
Next
