Causal Approach

Causal approaches in machine learning aim to move beyond simple correlations, focusing instead on understanding and modeling the underlying causal relationships within data. Current research emphasizes developing methods to identify causal structures, particularly in complex domains like biology and social sciences, often employing techniques like causal Bayesian networks, do-calculus, and causal forests, alongside large language models for knowledge integration. This focus on causality enhances model robustness, generalizability, and interpretability, leading to more reliable predictions and fairer decision-making across diverse applications, from healthcare and finance to software engineering and industrial troubleshooting.

Papers

May 17, 2023

Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Risk Assessment Causal Discovery Algorithm Causal Approach Lymph Node Causal Bayesian Network

February 14, 2023

A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly, Dren Fazlija, Maryam Badar, Marco Fisichella, Sandipan Sikdar, Johanna Schrader, Jonas Wallat, Koustav Rudra, Manolis Koubarakis, Gourab K. Patro, Wadhah Zai El Amri, Wolfgang Nejdl
Integral Role Causal Model Causal Pattern Trustworthy Artificial Intelligence Cause Effect Causal Approach

January 20, 2023

causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs
Sven Pieper, Carl Willy Mehling, Dominik Hirsch, Tobias Lüke, Steffen Ihlenfeldt
Knowledge Graph Causal Discovery Causal Graph Causal Knowledge Causal Approach

October 30, 2022

Formalizing Statistical Causality via Modal Logic
Yusuke Kawamoto, Tetsuya Sato, Kohei Suenaga
Causal Inference Causal Approach Modal Logic

September 12, 2022

A Causal-based Approach to Explain, Predict and Prevent Failures in Robotic Tasks
Maximilian Diehl, Karinne Ramirez-Amaro
Robotic Task Cause Effect Causal Approach Causal Bayesian Network Silent Failure

September 3, 2022

Deep Stable Representation Learning on Electronic Health Records
Yingtao Luo, Zhaocheng Liu, Qiang Liu
Electronic Health Record Causal Representation Learning Disease Prediction Causal Approach Deep Stable

July 4, 2022

A Causal Approach for Business Optimization: Application on an Online Marketplace
Naama Parush, Ohad Levinkron-Fisch, Hanan Shteingart, Amir Bar Sela, Amir Zilberman, Jake Klein
Application Proficiency Causal Inference Causal Approach Contact Estimation Online Marketplace Causal Intervention Module Business Optimisation

June 30, 2022

A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes
Wenzhuo Yang, Kun Zhang, Steven C. H. Hoi
Causal Pattern Root Cause Detecting Anomaly Multivariate Time Series Anomaly Detection Causal Approach Causal System Local Effect

June 14, 2022

Towards a Solution to Bongard Problems: A Causal Approach
Salahedine Youssef, Matej Zečević, Devendra Singh Dhami, Kristian Kersting
Reinforcement Learning Artificial Intelligence Contrastive Learning Meaningful Representation Solution Path Causal Approach

June 6, 2022

Is More Data All You Need? A Causal Exploration
Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz
Medical Imaging Medical Image Datasets Causal Analysis Causal Approach Interventional Data

May 18, 2022

Probability trees and the value of a single intervention
Tue Herlau
Decision Tree Causal Relationship Net Present Value Causal Reasoning Causal Approach

April 9, 2022

Why did I fail? A Causal-based Method to Find Explanations for Robot Failures
Maximilian Diehl, Karinne Ramirez-Amaro
Line by Line Explanation Causal Model Causal Approach Causal Explanation Robot Failure Causal Bayesian Network Failure Explanation

April 4, 2022

Causality, Causal Discovery, and Causal Inference in Structural Engineering
M. Z. Naser
Causal Inference Causal Discovery Causal Model Causal Pattern Causal Approach Structural Engineering Causal Concept

March 31, 2022

How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis
Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu
Pre Trained Language Model Causal Approach Cloze Style

January 22, 2022

A Causal Lens for Controllable Text Generation
Zhiting Hu, Li Erran Li
Text Generation Counterfactual Inference Conditional Generation Causal Approach Causality Based Perspective

November 29, 2021

A Causal Approach for Unfair Edge Prioritization and Discrimination Removal
Pavan Ravishankar, Pranshu Malviya, Balaraman Ravindran
Causal Approach Long Term Fairness