Machine Learning Causal Inference

News

CITP Lecture: Amanda Coston - Responsible Machine Learning through the Lens of Causal Inference

Machine learning algorithms are widely used for decision making in societally high-stakes settings from child welfare and criminal justice to healthcare and consumer lending. Recent history has ...

Harvard Business School

Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning

Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 ...

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

VentureBeat

Show inaccessible results

News

CITP Lecture: Amanda Coston - Responsible Machine Learning through the Lens of Causal Inference

Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning

Researchers Propose a Novel Representation Learning Framework to Address the Lack of Causal Characterization in Deep Learning Models

Why machine learning struggles with causality

How causal analysis and AI intersect - methods of causal inference

Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules

New Machine Learning Inference Benchmarks

Membership inference attacks detect data used to train machine learning models