Locally Robust Semiparametric Estimation

29 July 2016

Papers citing "Locally Robust Semiparametric Estimation"

26 / 26 papers shown

Title
Transformer Meets Twicing: Harnessing Unattended Residual Information Laziz U. Abdullaev Tan M. Nguyen 41 2 0 02 Mar 2025
Linear Multidimensional Regression with Interactive Fixed-Effects Hugo Freeman 36 0 0 10 Jan 2025
Learning Decision Policies with Instrumental Variables through Double Machine Learning Daqian Shao Ashkan Soleymani Francesco Quinzan Marta Z. Kwiatkowska 36 1 0 14 May 2024
Optimizing Language Models for Human Preferences is a Causal Inference Problem Victoria Lin Eli Ben-Michael Louis-Philippe Morency 41 3 0 22 Feb 2024
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation Jikai Jin Vasilis Syrgkanis CML 67 1 0 22 Feb 2024
Cross-Prediction-Powered Inference Tijana Zrnic Emmanuel J. Candès 37 23 0 28 Sep 2023
Choice Models and Permutation Invariance: Demand Estimation in Differentiated Products Markets Amandeep Singh Ye Liu Hema Yoganarasimhan 33 2 0 13 Jul 2023
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism Zihao Li Zhuoran Yang Mengdi Wang OffRL 29 54 0 29 May 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 29 1 0 08 Mar 2023
Higher-order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators M. D. Cattaneo M. Farrell Michael Jansson Ricardo P. Masini 6 0 0 31 Dec 2022
Partly Linear Instrumental Variables Regressions without Smoothing on the Instruments J. Florens Elia Lapenta 11 1 0 21 Dec 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 26 7 0 27 Nov 2022
Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett Nathan Kallus Xiaojie Mao Whitney Newey Vasilis Syrgkanis Masatoshi Uehara 30 15 0 17 Aug 2022
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings E. Barzegary Hema Yoganarasimhan 15 0 0 02 Aug 2022
Encompassing Tests for Nonparametric Regressions Elia Lapenta P. Lavergne 9 0 0 13 Mar 2022
Long Story Short: Omitted Variable Bias in Causal Machine Learning Victor Chernozhukov Carlos Cinelli Whitney Newey Amit Sharma Vasilis Syrgkanis CML 16 35 0 26 Dec 2021
Many Proxy Controls Ben Deaner AI4CE 28 7 0 08 Oct 2021
Knowledge Distillation as Semiparametric Inference Tri Dao G. Kamath Vasilis Syrgkanis Lester W. Mackey 32 31 0 20 Apr 2021
Estimating the Long-Term Effects of Novel Treatments Keith Battocchi E. Dillon Maggie Hei Greg Lewis M. Oprescu Vasilis Syrgkanis CML 14 10 0 15 Mar 2021
Semiparametric proximal causal inference Yifan Cui Hongming Pu Xu Shi Wang Miao E. T. Tchetgen Tchetgen 23 100 0 17 Nov 2020
Mostly Harmless Machine Learning: Learning Optimal Instruments in Linear IV Models Jiafeng Chen Daniel L. Chen Greg Lewis CML 25 15 0 12 Nov 2020
Local Regression Distribution Estimators M. D. Cattaneo Michael Jansson Xinwei Ma 24 30 0 30 Sep 2020
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data Nathan Kallus Xiaojie Mao 11 58 0 27 Mar 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 25 25 0 30 Dec 2019
Characterization of parameters with a mixed bias property A. Rotnitzky Ezequiel Smucler J. M. Robins 14 66 0 07 Apr 2019
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 24 103 0 14 Sep 2018