Semiparametric counterfactual density estimation

24 February 2021

Papers citing "Semiparametric counterfactual density estimation"

28 / 28 papers shown

Title
Moments of Causal Effects Yuta Kawakami Jin Tian CML 68 0 0 08 May 2025
Semiparametric Counterfactual Regression Kwangho Kim OffRL 92 0 0 03 Apr 2025
Kernel-based estimators for functional causal effects Yordan P. Raykov Hengrui Luo Justin Strait Wasiur R. KhudaBukhsh CML 251 0 0 06 Mar 2025
Accounting for Missing Covariates in Heterogeneous Treatment Estimation Khurram Yamin Vibhhu Sharma Ed Kennedy Bryan Wilder 42 0 0 21 Oct 2024
Learning Counterfactual Distributions via Kernel Nearest Neighbors Kyuseong Choi Jacob Feitelberg Anish Agarwal Raaz Dwivedi OOD OffRL 441 1 0 17 Oct 2024
Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments Axel Martin Michele Santacatterina Iván Díaz 64 1 0 27 Sep 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments Jonas Schweisthal Dennis Frauen M. Schaar Stefan Feuerriegel CML 100 7 0 04 Jun 2024
Orthogonal Causal Calibration Justin Whitehouse Christopher Jung Vasilis Syrgkanis Bryan Wilder Zhiwei Steven Wu CML 176 1 0 04 Jun 2024
Multi-Source Conformal Inference Under Distribution Shift Yi Liu Alexander W. Levis Sharon-Lise T. Normand Larry Han OOD 222 9 0 15 May 2024
Predictive Performance Comparison of Decision Policies Under Confounding Luke M. Guerdan Amanda Coston Kenneth Holstein Zhiwei Steven Wu OffRL 196 0 0 01 Apr 2024
Auditing Fairness under Unobserved Confounding Yewon Byun Dylan Sam Michael Oberst Zachary Chase Lipton Bryan Wilder 72 8 0 18 Mar 2024
A Neural Framework for Generalized Causal Sensitivity Analysis Dennis Frauen F. Imrie Alicia Curth Valentyn Melnychuk Stefan Feuerriegel M. Schaar CML 92 10 0 27 Nov 2023
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models Thong Pham Shohei Shimizu H. Hino Tam Le 67 6 0 02 Nov 2023
TNDDR: Efficient and doubly robust estimation of COVID-19 vaccine effectiveness under the test-negative design Cong Jiang Denis Talbot S. Carazo Mireille E. Schnitzer 13 0 0 06 Oct 2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments Zach Branson Edward H. Kennedy Sivaraman Balakrishnan Larry Wasserman CML 74 4 0 01 Sep 2023
Treatment Effects in Extreme Regimes Ahmed Aloui Ali Hasan Yuting Ng Miroslav Pajic Vahid Tarokh 43 0 0 20 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 89 7 0 06 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
Counterfactual Generative Models for Time-Varying Treatments Shenghao Wu Wen-liang Zhou Minshuo Chen Shixiang Zhu DiffM CML 94 8 0 25 May 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect Diego Martinez-Taboada Aaditya Ramdas Edward H. Kennedy OOD 69 8 0 26 Apr 2023
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 60 8 0 07 Dec 2022
A Bayesian Semiparametric Method For Estimating Causal Quantile Effects Steven G. Xu Shu Yang Brian J. Reich CML 56 1 0 03 Nov 2022
Bayesian Counterfactual Mean Embeddings and Off-Policy Evaluation Diego Martinez-Taboada Dino Sejdinovic CML OffRL 43 0 0 02 Nov 2022
Normalizing Flows for Interventional Density Estimation Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 101 21 0 13 Sep 2022
The role of the geometric mean in case-control studies Amanda Coston Edward H. Kennedy 25 2 0 19 Jul 2022
Structural Nested Mean Models Under Parallel Trends Assumptions Zach Shahn O. Dukes David Richardson E. T. Tchetgen Jamie Robins 14 9 0 21 Apr 2022
Stateful Offline Contextual Policy Evaluation and Learning Nathan Kallus Angela Zhou OffRL 44 7 0 19 Oct 2021
The Causal-Neural Connection: Expressiveness, Learnability, and Inference K. Xia Kai-Zhan Lee Yoshua Bengio Elias Bareinboim CML 81 111 0 02 Jul 2021