Semiparametric Inference For Causal Effects In Graphical Models With
Hidden Variables

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Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables

27 March 2020

Rohit Bhattacharya

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Papers citing "Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables"

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Title
$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
A Review of Off-Policy Evaluation in Reinforcement Learning Masatoshi Uehara C. Shi Nathan Kallus OffRL 102 76 0 13 Dec 2022
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 119 11 0 07 Nov 2022
Finding and Listing Front-door Adjustment Sets H. Jeong Jin Tian Elias Bareinboim 79 9 0 11 Oct 2022
Falsification before Extrapolation in Causal Effect Estimation Zeshan Hussain Michael Oberst M. Shih David Sontag CML 95 9 0 27 Sep 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 32 0 20 Aug 2022
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya Razieh Nabi 85 9 0 01 Mar 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 74 7 0 24 Feb 2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics M. Vowels S. Akbari Necati Cihan Camgöz Richard Bowden 60 4 0 18 Feb 2022
Unicorn: Reasoning about Configurable System Performance through the lens of Causality Md Shahriar Iqbal R. Krishna Mohammad Ali Javidian Baishakhi Ray Pooyan Jamshidi LRM 75 31 0 20 Jan 2022
Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data Augmentation Takeshi Teshima Masashi Sugiyama CML 91 13 0 27 Feb 2021
Differentiable Causal Discovery Under Unmeasured Confounding Rohit Bhattacharya Tushar Nagarajan Daniel Malinsky I. Shpitser CML 80 61 0 14 Oct 2020
Path Dependent Structural Equation Models R. Srinivasan Jaron J. R. Lee Rohit Bhattacharya Narges Ahmidi I. Shpitser CML 51 4 0 24 Aug 2020
Efficient adjustment sets in causal graphical models with hidden variables Ezequiel Smucler F. Sapienza A. Rotnitzky CML OffRL 100 33 0 22 Apr 2020
Optimal Training of Fair Predictive Models Razieh Nabi Daniel Malinsky I. Shpitser 60 14 0 09 Oct 2019
Quantum Inflation: A General Approach to Quantum Causal Compatibility Elie Wolfe Alejandro Pozas-Kerstjens Matan Grinberg D. Rosset A. Acín M. Navascués AI4CE 84 56 0 23 Sep 2019