Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation

27 January 2018

Papers citing "Cross-Fitting and Fast Remainder Rates for Semiparametric Estimation"

50 / 67 papers shown

Title
The Post Double LASSO for Efficiency Analysis Christopher Parmeter Artem Prokhorov Valentin Zelenyuk 41 0 0 20 May 2025
AI Alignment in Medical Imaging: Unveiling Hidden Biases Through Counterfactual Analysis Haroui Ma Francesco Quinzan Theresa Willem Stefan Bauer 129 0 0 28 Apr 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 97 0 0 03 Apr 2025
Targeted Learning for Variable Importance Xiaohan Wang Yunzhe Zhou Giles Hooker 55 0 0 04 Nov 2024
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes Jin-Hong Du Kathryn Roeder Larry Wasserman 79 1 0 07 Oct 2024
Performance of Cross-Validated Targeted Maximum Likelihood Estimation Matthew J. Smith Rachael V. Phillips C. Maringe Miguel Angel Luque-Fernandez 56 1 0 17 Sep 2024
Multiply-Robust Causal Change Attribution Victor Quintas-Martinez M. T. Bahadori Eduardo Santiago Jeff Mu Dominik Janzing David Heckerman CML 68 2 0 12 Apr 2024
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits Muhammad Faaiz Taufiq Arnaud Doucet Rob Cornish Jean-François Ton OffRL 100 8 0 03 Dec 2023
Optimally weighted average derivative effects Oliver Hines Karla Diaz-Ordaz S. Vansteelandt CML 67 2 0 10 Aug 2023
RCT Rejection Sampling for Causal Estimation Evaluation Katherine A. Keith Sergey Feldman David Jurgens Jonathan Bragg Rohit Bhattacharya CML 77 7 0 27 Jul 2023
The Connection Between R-Learning and Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects Aaron Fisher CML 53 1 0 19 Jul 2023
Assumption-lean falsification tests of rate double-robustness of double-machine-learning estimators Lin Liu Rajarshi Mukherjee J. M. Robins 78 2 0 18 Jun 2023
Three-way Cross-Fitting and Pseudo-Outcome Regression for Estimation of Conditional Effects and other Linear Functionals Aaron Fisher Virginia Fisher 50 3 0 12 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 89 7 0 06 Jun 2023
Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling Yuta Saito Qingyang Ren Thorsten Joachims CML OffRL 69 26 0 14 May 2023
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 70 11 0 06 May 2023
Augmented balancing weights as linear regression David Bruns-Smith O. Dukes Avi Feller Elizabeth L. Ogburn 96 11 0 27 Apr 2023
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 71 1 0 08 Mar 2023
Causal isotonic calibration for heterogeneous treatment effects L. Laan Ernesto Ulloa-Pérez M. Carone Alexander Luedtke 92 12 0 27 Feb 2023
$New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators$ New $\sqrt{n}$ -consistent, numerically stable higher-order influence function estimators Lin Liu Chang Li 57 0 0 16 Feb 2023
Doubly Robust Counterfactual Classification K. Kim Edward H. Kennedy J. Zubizarreta OffRL 62 5 0 15 Jan 2023
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values F. R. Guo Rajen Dinesh Shah 59 14 0 06 Jan 2023
Finite-Sample Guarantees for High-Dimensional DML Victor Quintas-Martinez AI4CE 62 1 0 15 Jun 2022
Calibration Error for Heterogeneous Treatment Effects Yizhe Xu Steve Yadlowsky 59 12 0 24 Mar 2022
T-Cal: An optimal test for the calibration of predictive models Donghwan Lee Xinmeng Huang Hamed Hassani Yan Sun 145 22 0 03 Mar 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 93 14 0 22 Feb 2022
Off-Policy Evaluation for Large Action Spaces via Embeddings Yuta Saito Thorsten Joachims OffRL 82 46 0 13 Feb 2022
A nonparametric doubly robust test for a continuous treatment effect Charles R. Doss Guangwei Weng Lan Wang I. Moscovice T. Chantarat 51 2 0 07 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance Gabriel Okasa CML 55 6 0 30 Jan 2022
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings Abhishek Chakrabortty Guorong Dai Ray Carroll 53 10 0 25 Jan 2022
Local permutation tests for conditional independence Ilmun Kim Matey Neykov Sivaraman Balakrishnan Larry A. Wasserman 98 28 0 22 Dec 2021
Decorrelated Variable Importance I. Verdinelli Larry A. Wasserman FAtt 54 20 0 21 Nov 2021
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis CML 107 40 0 06 Oct 2021
Parameterising the effect of a continuous exposure using average derivative effects Oliver Hines Karla Diaz-Ordaz S. Vansteelandt 39 10 0 27 Sep 2021
Semiparametric Estimation of Long-Term Treatment Effects Jiafeng Chen David M. Ritzwoller 73 21 0 30 Jul 2021
Machine Learning for Variance Reduction in Online Experiments Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Ch. P. Schoener Matt Goldman 59 35 0 14 Jun 2021
Automatic Debiased Machine Learning via Riesz Regression Victor Chernozhukov Whitney Newey Victor Quintas-Martinez Vasilis Syrgkanis OOD CML 63 4 0 30 Apr 2021
Cross-validation: what does it estimate and how well does it do it? Stephen Bates Trevor Hastie Robert Tibshirani UQCV 123 289 0 01 Apr 2021
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis Xiaowu Dai Lexin Li 52 11 0 12 Mar 2021
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing Jacob Dorn Kevin Guo 199 58 0 08 Feb 2021
Deep Learning for Individual Heterogeneity M. Farrell Tengyuan Liang S. Misra BDL 74 17 0 28 Oct 2020
Estimating Structural Target Functions using Machine Learning and Influence Functions Alicia Curth Ahmed Alaa M. Schaar CML TDI 82 3 0 14 Aug 2020
Rejoinder: On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning Lin Liu Rajarshi Mukherjee J. M. Robins CML 77 16 0 07 Aug 2020
Assumption-lean inference for generalised linear model parameters S. Vansteelandt O. Dukes CML 150 54 0 15 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 196 328 0 29 Apr 2020
Machine learning for causal inference: on the use of cross-fit estimators P. Zivich A. Breskin CML OOD 80 65 0 21 Apr 2020
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data Nathan Kallus Xiaojie Mao 71 62 0 27 Mar 2020
Debiased Off-Policy Evaluation for Recommendation Systems Yusuke Narita Shota Yasui Kohei Yata OffRL 56 11 0 20 Feb 2020
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 91 23 0 27 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