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Microsoft Research Blog
DoWhy evolves to independent PyWhy model to help causal inference grow
| Emre Kiciman and Amit Sharma
Identifying causal effects is an integral part of scientific inquiry. It helps us understand everything from educational outcomes to the effects of social policies to risk factors for diseases. Questions of cause-and-effect are also critical for the design and data-driven…
Microsoft Research Podcast
Econ2: Causal machine learning, data interpretability, and online platform markets featuring Hunt Allcott and Greg Lewis
In this episode, Senior Principal Researcher Dr. Hunt Allcott speaks with Microsoft Research New England office mate and Senior Principal Researcher Dr. Greg Lewis. Together, they cover the connection between causal machine learning and economics research, the motivations of buyers…