Causal Structure

Causal structure research aims to uncover cause-and-effect relationships within complex systems, using both observational and interventional data to build accurate causal models. Current research focuses on developing robust algorithms for causal discovery, including those leveraging graph neural networks, score-matching techniques, and reinforcement learning to learn directed acyclic graphs (DAGs) efficiently, even in the presence of latent variables and non-linear relationships. These advancements are crucial for improving the reliability and interpretability of machine learning models across diverse fields, from healthcare and robotics to climate science and marketing, enabling more effective decision-making based on a deeper understanding of causality.

Papers

March 29, 2022

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszár
Causal Discovery Person Identification Causal Structure Conditional Independence Causal Discovery Method Causal Discovery Algorithm Invariant Causal Feature De Finetti

March 21, 2022

Learning latent causal relationships in multiple time series
Jacek P. Dmochowski
Causal Structure Causal Relationship Causal Relation Latent Causal Granger Causality

February 21, 2022

February 20, 2022

Trying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables
Matthew J. Vowels
Machine Learning Causal Structure Fundamental Limitation Causal Pattern Underlying Causal Explainability Technique Causal Objective Function

February 12, 2022

Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning
Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
Reinforcement Learning LeArning Abstract External Control Dynamical System Causal Structure Causal Pattern

January 23, 2022

Distributed Learning of Generalized Linear Causal Networks
Qiaoling Ye, Arash A. Amini, Qing Zhou
LeArning Abstract Causal Graph Causal Structure Causal Network Optimal Graph Structure

January 18, 2022

Socioeconomic disparities and COVID-19: the causal connections
Tannista Banerjee, Ayan Paul, Vishak Srikanth, Inga Strümke
Covid 19 Causal Structure Shapley Value Causal Analysis Causal Knowledge Cooperative Game Theory

December 19, 2021

Rethinking Importance Weighting for Transfer Learning
Nan Lu, Tianyi Zhang, Tongtong Fang, Takeshi Teshima, Masashi Sugiyama
Transfer Learning Causal Structure Importance Weighting Importance Estimation

December 7, 2021

December 1, 2021

Inducing Causal Structure for Interpretable Neural Networks
Atticus Geiger, Zhengxuan Wu, Hanson Lu, Josh Rozner, Elisa Kreiss, Thomas Icard, Noah D. Goodman, Christopher Potts
Causal Structure Causal Model Bridging Text Interpretable Neural Network Causal Abstraction

November 30, 2021

gCastle: A Python Toolbox for Causal Discovery
Keli Zhang, Shengyu Zhu, Marcus Kalander, Ignavier Ng, Junjian Ye, Zhitang Chen, Lujia Pan
Causal Discovery Causal Structure Graph Structure Learning Causal Structure Learning Python Toolbox Differentiable Causal Discovery

November 26, 2021

Enforcing and Discovering Structure in Machine Learning
Francesco Locatello
Machine Learning Causal Structure Inner Structure Prior Knowledge Learning Algorithm Structure Discovery Exact Enforcement

November 20, 2021

Building Object-based Causal Programs for Human-like Generalization
Bonan Zhao, Christopher G. Lucas, Neil R. Bramley
Domain Generalization Causal Structure Building PCC Causal Variable Human Like Generalization Generalization Behavior

November 18, 2021

CCSL: A Causal Structure Learning Method from Multiple Unknown Environments
Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao
Causal Discovery Causal Structure Unknown Environment Causal Structure Learning Cosine Similarity

November 15, 2021

Scalable Intervention Target Estimation in Linear Models
Burak Varici, Karthikeyan Shanmugam, Prasanna Sattigeri, Ali Tajer
Causal Graph Causal Structure Linear Model Structural Equation Markov Equivalence Class