Causal Inference

July 24, 2024

Causal modelling without introducing counterfactuals or abstract distributions
Benedikt Höltgen, Robert C. Williamson
Scientific Inference Causal Inference Causal Model High Quality Counterfactuals Causal Event Causal View Multiple Distribution
Establishing Truly Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning
Tianhang Nan, Yong Ding, Hao Quan, Deliang Li, Mingchen Zou, Xiaoyu Cui
Deep Learning Causal Inference Multiple Instance Learning Causal Relation Slide Level Image Prediction Decision Region

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

June 28, 2024

The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis
Yan Shuo Tan, Omer Ronen, Theo Saarinen, Bin Yu
Causal Inference Big Data Reversal Curse Semi Parametric Hitting Time Bayesian Additive Regression Tree

June 25, 2024

Compositional Models for Estimating Causal Effects
Purva Pruthi, David Jensen
Causal Inference Causal Effect Causal Effect Estimation Compositional Model Statistical Relational

June 20, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference Causal Discovery Causal Effect Latent Variable Recent Advance Causal Effect Estimation

June 19, 2024

Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies
Amir Saki, Usef Faghihi
Causal Inference Treatment Effect Fuzzy Interpretation

June 18, 2024

June 17, 2024

Standardizing Structural Causal Models
Weronika Ormaniec, Scott Sussex, Lars Lorch, Bernhard Schölkopf, Andreas Krause
Causal Inference Causal Structure Structural Causal Model Causal Ordering

June 13, 2024

June 12, 2024

Counterfactual-based Root Cause Analysis for Dynamical Systems
Juliane Weilbach, Sebastian Gerwinn, Karim Barsim, Martin Fränzle
Causal Inference Dynamical System Root Cause Counterfactual Distribution Causal Objective Function

Papers

Causal modelling without introducing counterfactuals or abstract distributions

Establishing Truly 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

The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis

Compositional Models for Estimating Causal Effects

Causal Inference with Latent Variables: Recent Advances and Future Prospectives

Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies

Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs

LLMs Are Prone to Fallacies in Causal Inference

Standardizing Structural Causal Models

Causal Fine-Tuning and Effect Calibration of Non-Causal Predictive Models

Investigating potential causes of Sepsis with Bayesian network structure learning

Counterfactual-based Root Cause Analysis for Dynamical Systems