Causal Effect

Causal effect estimation aims to determine the impact of an intervention or treatment on an outcome, accounting for confounding factors that might obscure the true relationship. Current research focuses on improving estimation accuracy and robustness, particularly in complex settings with high-dimensional data, multiple treatments, and unobserved variables, employing techniques like double machine learning, graph neural networks, and Bayesian methods. These advancements are crucial for reliable causal inference across diverse fields, enabling more informed decision-making in areas such as healthcare, social sciences, and business, where understanding cause-and-effect relationships is paramount.

Papers

December 20, 2022

Out-of-sample scoring and automatic selection of causal estimators
Egor Kraev, Timo Flesch, Hudson Taylor Lekunze, Mark Harley, Pere Planell Morell
Causal Inference Feature Selection Causal Effect Causal Model Instrumental Variable Scoring Property Automatic Selection

December 7, 2022

Neighborhood Adaptive Estimators for Causal Inference under Network Interference
Alexandre Belloni, Fei Fang, Alexander Volfovsky
Causal Inference Causal Effect Catastrophic Interference Average Treatment Effect Interdependent Network Causal Assumption Network Interference Adaptive Neighborhood

November 30, 2022

Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Maëlys Solal, Andrew Jesson, Yarin Gal, Alyson Douglas
Mixed Effect Causal Effect Climate Model Non Storm Cloud Aerosol Cloud

November 29, 2022

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs
Marcel Wienöbst, Benito van der Zander, Maciej Liśkiewicz
Estimation Task Causal Graph Causal Effect Causal Effect Estimation Unobserved Confounders Linear Time Algorithm Front Door Adjustment

November 26, 2022

Direct-Effect Risk Minimization for Domain Generalization
Yuhui Li, Zejia Wu, Chao Zhang, Hongyang Zhang
Domain Generalization Domain Shift Causal Effect Risk Minimization Correlation Shift

November 23, 2022

Causal Analysis of the TOPCAT Trial: Spironolactone for Preserved Cardiac Function Heart Failure
Francesca E. D. Raimondi, Tadhg O'Keeffe, Hana Chockler, Andrew R. Lawrence, Tamara Stemberga, Andre Franca, Maksim Sipos, Javed Butler, Shlomo Ben-Haim
Causal Discovery Causal Effect Causal Analysis Causal Discovery Method Multi Center Study Heart Failure

November 21, 2022

Applications of statistical causal inference in software engineering
Julien Siebert
Financial Application Causal Inference Causal Effect Software Engineering Observational Data Research Community

November 20, 2022

Counterfactual Learning with Multioutput Deep Kernels
Alberto Caron, Gianluca Baio, Ioanna Manolopoulou
Causal Effect Structural Causal Model Causal Effect Estimation Counterfactual Inference Counterfactual Learning Deep Kernel

November 8, 2022

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbavaram Gowtham Reddy, Vineeth N Balasubramanian
Causal Inference Causal Effect Causal Effect Estimation Neurosymbolic Approach

October 14, 2022

Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media
Yizhou Zhang, Defu Cao, Yan Liu
Social Medium Causal Effect Misinformation Claim Causal Effect Estimation Misinformation Campaign Fake News Diffusion

September 30, 2022

Causal Estimation for Text Data with (Apparent) Overlap Violations
Lin Gui, Victor Veitch
Causal Effect Causal Effect Estimation Text Data Causal Effect Identification Robust Causal Conditional Mean

September 27, 2022

Falsification before Extrapolation in Causal Effect Estimation
Zeshan Hussain, Michael Oberst, Ming-Chieh Shih, David Sontag
Causal Effect Causal Effect Estimation Extrapolation Framework Observational Data Meta Analysis Randomized Controlled Trial

September 25, 2022

Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
Mauricio Tec, James Scott, Corwin Zigler
Representation Learning Causal Inference Causal Effect Earth System Text Based Confounders Spatial Interaction Non Confounding Covariates

September 19, 2022

A Survey of Deep Causal Models and Their Industrial Applications
Zongyu Li, Xiaobo Guo, Siwei Qiang
Timely Survey Causal Effect Causal Model Causal Effect Estimation Industrial Application Counterfactual Data Deep Causal

September 15, 2022

$\rho$-GNF : A Novel Sensitivity Analysis Approach Under Unobserved Confounders
Sourabh Balgi, Jose M. Peña, Adel Daoud
Causal Inference Causal Effect Unobserved Confounders Sensitivity Analysis Average Causal Effect Gaussian Copula Graphical Normalizing Flow

August 31, 2022

August 25, 2022

Incrementality Bidding and Attribution
Randall Lewis, Jeffrey Wong
Causal Effect Source Attribution Online Advertising Programmatic Strategy Online Advertising Revenue

August 20, 2022

Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Timely Survey Causal Graph Causal Effect Causal Effect Estimation Causal Graphical Model

August 15, 2022

Anticipating Performativity by Predicting from Predictions
Celestine Mendler-Dünner, Frances Ding, Yixin Wang
Human Prediction Causal Effect Causal Relationship Causal Inference Task Performative Power Causal Identifiability