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

October 3, 2023

Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Duy Le
Representation Learning Causal Inference Causal Effect Unobserved Confounders Instrumental Variable Text Based Confounders

September 22, 2023

OpportunityFinder: A Framework for Automated Causal Inference
Huy Nguyen, Prince Grover, Devashish Khatwani
New Framework Causal Inference Emerging Opportunity Causal Effect Causal Analysis Causal Effect Identification

September 5, 2023

August 24, 2023

Federated Causal Inference from Observational Data
Thanh Vinh Vo, Young lee, Tze-Yun Leong
Causal Inference Causal Effect Observational Data Federated Causal

August 19, 2023

Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Yosuke Miyanishi, Minh Le Nguyen
Gradient Descent Explainable AI Causal Effect Causal Event Dual System Multimodal Analysis Hateful Meme Intersectional Social Attribute Gradient Attention Feminist Intersectional

August 17, 2023

Uplift Modeling: from Causal Inference to Personalization
Felipe Moraes, Hugo Manuel Proença, Anastasiia Kornilova, Javier Albert, Dmitri Goldenberg
Causal Inference Causal Effect Causal Pattern Uplift Modeling

August 15, 2023

Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing
Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma
Causal Effect Knowledge Tracing

August 10, 2023

A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 2009
Feng Li
Complex Reasoning Scientific Inference Causal Inference Time Series Forecasting Causal Effect Causal Pattern

August 8, 2023

Generalization bound for estimating causal effects from observational network data
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
Strong Generalization Causal Inference Causal Effect Causal Effect Estimation Propensity Score

July 26, 2023

Learning sources of variability from high-dimensional observational studies
Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, Joshua T. Vogelstein
High Dimensional Causal Inference Causal Effect Non Pathological Variability Learning Resource

July 24, 2023

Causal Fair Machine Learning via Rank-Preserving Interventional Distributions
Ludwig Bothmann, Susanne Dandl, Michael Schomaker
Machine Learning Causal Effect Interventional Distribution

July 17, 2023

June 29, 2023

Identifiability of Direct Effects from Summary Causal Graphs
Simon Ferreira, Charles K. Assaad
Causal Graph Causal Effect Structural Causal Model Directed Acyclic Graph Novel Identifiability Test Summary Causal Graph

June 24, 2023

Estimating the Causal Effect of Early ArXiving on Paper Acceptance
Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
Causal Inference Causal Effect Peer Review Text Based Confounders Paper Submission

June 22, 2023

Approximate Causal Effect Identification under Weak Confounding
Ziwei Jiang, Lai Wei, Murat Kocaoglu
Causal Effect Causal Effect Estimation Unobserved Confounders Causal Query Confounding Bias

June 21, 2023

Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Thuc Duy Le, Jixue Liu
Causal Inference Causal Effect Causal Effect Estimation Instrumental Variable Latent Confounders

June 19, 2023