Causal Inference

August 30, 2024

Causal Reasoning in Software Quality Assurance: A Systematic Review
Luca Giamattei, Antonio Guerriero, Roberto Pietrantuono, Stefano Russo
Causal Inference Causal Discovery Systematic Review Causal Pattern Causal Reasoning Software Testing Quality Assurance
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning
Pengfei Shi, Wei Zhong, Xinyu Zhang, Ningtao Wang, Xing Fu, Weiqiang Wang, Yin Jin
Causal Inference Modeling Assumption Conditional Average Treatment Effect Sufficient Representation Regression Function

August 27, 2024

Using LLMs for Explaining Sets of Counterfactual Examples to Final Users
Arturo Fredes, Jordi Vitria
Medical LLM Causal Inference High Quality Counterfactuals Cause Effect Tiny Set Counterfactual Example

August 22, 2024

Towards Deconfounded Image-Text Matching with Causal Inference
Wenhui Li, Xinqi Su, Dan Song, Lanjun Wang, Kun Zhang, An-An Liu
Causal Inference Image Text Matching

August 14, 2024

$\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains
Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Zečević, Kristian Kersting, Devendra Singh Dhami
Causal Inference Sum Product Network Characteristic Function Interventional Distribution

August 10, 2024

August 9, 2024

A Density Ratio Super Learner
Wencheng Wu, David Benkeser
Loss Function Causal Inference Probability Density Function Super Learner

July 29, 2024

Domain Adaptable Prescriptive AI Agent for Enterprise
Piero Orderique, Wei Sun, Kristjan Greenewald
Causal Inference Domain Specific Open Domain Company Name Prescriptive Analytics

July 26, 2024

Large Language Models as Co-Pilots for Causal Inference in Medical Studies
Ahmed Alaa, Rachael V. Phillips, Emre Kıcıman, Laura B. Balzer, Mark van der Laan, Maya Petersen
Causal Inference Causal Effect Latent Confounding

July 24, 2024

July 23, 2024

MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation
Ziheng Wang, Xinhe Li, Haruki Momma, Ryoichi Nagatomi
Causal Inference Civil Engineering Phase Internal Medicine DOCTOR Medication Recommendation Learning Process Optimal Treatment Victim Model

July 19, 2024

Causal Inference with Complex Treatments: A Survey
Yingrong Wang, Haoxuan Li, Minqin Zhu, Anpeng Wu, Ruoxuan Xiong, Fei Wu, Kun Kuang
Timely Survey Causal Inference Treatment Effect Multiple Outcome

July 11, 2024

Causal inference through multi-stage learning and doubly robust deep neural networks
Yuqian Zhang, Jelena Bradic
Deep Neural Network Causal Inference Multi Stage Robust Deep Conditional Average Treatment Effect Causal Inference Task Dynamic Treatment Effect

July 10, 2024

July 8, 2024

New User Event Prediction Through the Lens of Causal Inference
Henry Shaowu Yuchi, Shixiang Zhu, Li Dong, Yigit M. Arisoy, Matthew C. Spencer
Causal Inference Camera Lens User Behavior Text Based Confounders Inverse Propensity Unbiased Prediction

July 4, 2024

Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)
Björn Filter, Ralf Möller, Özgür Lütfü Özçep
Federated Learning Causal Inference Causal Structure Functional Mechanism Extended Version Data Sharing Collaborative Inference Cooperative Learning

July 1, 2024

CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect
Jiehui Zhou, Linxiao Yang, Xingyu Liu, Xinyue Gu, Liang Sun, Wei Chen
Causal Inference Treatment Effect Heterogeneous Treatment Effect Interpretable Rule Causal Assumption Subgroup Description

Papers

Causal Reasoning in Software Quality Assurance: A Systematic Review

Estimating Conditional Average Treatment Effects via Sufficient Representation Learning

Using LLMs for Explaining Sets of Counterfactual Examples to Final Users

Towards Deconfounded Image-Text Matching with Causal Inference

$\chi$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

Dynamical causality under invisible confounders

Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression

A Density Ratio Super Learner

Domain Adaptable Prescriptive AI Agent for Enterprise

Large Language Models as Co-Pilots for Causal Inference in Medical Studies

Causal modelling without introducing counterfactuals or abstract distributions

Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning

MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation

Causal Inference with Complex Treatments: A Survey

Causal inference through multi-stage learning and doubly robust deep neural networks

A Critical Review of Causal Reasoning Benchmarks for Large Language Models

Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding

New User Event Prediction Through the Lens of Causal Inference

Mechanisms for Data Sharing in Collaborative Causal Inference (Extended Version)

CURLS: Causal Rule Learning for Subgroups with Significant Treatment Effect