v1v2v3 (latest)

Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables

Journal of machine learning research (JMLR), 2020

27 March 2020

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

27 / 27 papers shown

Graphical Models for Decision-Making: Integrating Causality and Game Theory

Maarten C. Vonk

Mauricio Gonzalez Soto

Anna V. Kononova

CML

275

16 Apr 2025

Estimating Causal Effects from Learned Causal NetworksEuropean Conference on Artificial Intelligence (ECAI), 2024

Rina Dechter

348

26 Aug 2024

Flexible Nonparametric Inference for Causal Effects under the Front-Door Model

239

15 Dec 2023

RCT Rejection Sampling for Causal Estimation Evaluation

442

27 Jul 2023

Correcting for Selection Bias and Missing Response in Regression using Privileged InformationConference on Uncertainty in Artificial Intelligence (UAI), 2023

Joris M. Mooij

239

29 Mar 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

170

16 Feb 2023

A Review of Off-Policy Evaluation in Reinforcement Learning

302

114

13 Dec 2022

Deep Causal Learning: Representation, Discovery and Inference

447

07 Nov 2022

Finding and Listing Front-door Adjustment SetsNeural Information Processing Systems (NeurIPS), 2022

H. Jeong

Jin Tian

Elias Bareinboim

311

11 Oct 2022

Falsification before Extrapolation in Causal Effect EstimationNeural Information Processing Systems (NeurIPS), 2022

437

27 Sep 2022

Data-Driven Influence Functions for Optimization-Based Causal Inference

388

29 Aug 2022

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A SurveyACM Computing Surveys (ACM CSUR), 2022

386

20 Aug 2022

Causal Structure Learning: a Combinatorial PerspectiveFoundations of Computational Mathematics (FoCM), 2022

C. Squires

Caroline Uhler

CML

541

02 Jun 2022

On Testability of the Front-Door Model via Verma ConstraintsConference on Uncertainty in Artificial Intelligence (UAI), 2022

Rohit Bhattacharya

Razieh Nabi

396

01 Mar 2022

On Testability and Goodness of Fit Tests in Missing Data ModelsConference on Uncertainty in Artificial Intelligence (UAI), 2022

Razieh Nabi

Rohit Bhattacharya

225

28 Feb 2022

Variable elimination, graph reduction and efficient g-formulaBiometrika (Biometrika), 2022

476

24 Feb 2022

A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics

291

18 Feb 2022

Unicorn: Reasoning about Configurable System Performance through the lens of CausalityEuropean Conference on Computer Systems (EuroSys), 2022

Md Shahriar Iqbal

R. Krishna

Mohammad Ali Javidian

Baishakhi Ray

Pooyan Jamshidi

LRM

285

20 Jan 2022

Incorporating Causal Graphical Prior Knowledge into Predictive Modeling via Simple Data AugmentationConference on Uncertainty in Artificial Intelligence (UAI), 2021

Takeshi Teshima

Masashi Sugiyama

CML

499

27 Feb 2021

Do-calculus enables estimation of causal effects in partially observed biomolecular pathways

135

12 Feb 2021

Causal Inference in the Presence of Interference in Sponsored Search Advertising

338

15 Oct 2020

Differentiable Causal Discovery Under Unmeasured Confounding

380

14 Oct 2020

Path Dependent Structural Equation Models

279

24 Aug 2020

Efficient adjustment sets in causal graphical models with hidden variables

456

22 Apr 2020

Estimating Treatment Effects with Observed Confounders and MediatorsConference on Uncertainty in Artificial Intelligence (UAI), 2020

Shantanu Gupta

Zachary Chase Lipton

David Benjamin Childers

CML

324

26 Mar 2020

Optimal Training of Fair Predictive ModelsCLEaR (CLEaR), 2019

Razieh Nabi

Daniel Malinsky

I. Shpitser

299

09 Oct 2019

Quantum Inflation: A General Approach to Quantum Causal CompatibilityPhysical Review X (PRX), 2019

Elie Wolfe

Alejandro Pozas-Kerstjens

363

23 Sep 2019