PyWhy Causality in Practice is a new talk series focusing on causality and machine learning, especially from a practical perspective. We'll have tutorials and presentations about PyWhy libraries but also talks by external speakers working on causal inference.
Emre Kiciman, Senior Principal Researcher at Microsoft, talks about pywhy-llm, a new experimental library that focuses on using large language models for causality.
EconML is a Python package that implements several cutting-edge causal inference estimators on top of flexible machine learning methods. In this talk, Keith Battocchi, software engineer at Microsoft Research New England and lead developer for EconML, presents a brief overview of EconML followed by a closer look at several big new features in EconML 0.15.