Causality and Machine Learning
新闻与深度文章
Open-source library provides explanation for machine learning through diverse counterfactuals
| Amit Sharma
Consider a person who applies for a loan with a financial company, but their application is rejected by a machine learning algorithm used to determine who receives a loan from the company. How would you explain the decision made by…
| Adith Swaminathan 和 Emre Kiciman
Causal inference studies the relationship between causes and effects. For example, one kind of question that causal inference can answer is the “What-happens-if …” question. What happens if I take a specific medication? What happens if I raise the price…
| Amit Sharma 和 Emre Kiciman
For decades, causal inference methods have found wide applicability in the social and biomedical sciences. As computing systems start intervening in our work and daily lives, questions of cause-and-effect are gaining importance in computer science as well. To enable widespread…