Susan Athey, “Machine Learning and Causal Inference for Policy Evaluation”

Description: Monther R. Alfuraidan from King Fahd University of Petroleum & Minerals, KSA, and Mohamed Amine Khamsi from University of Texas at El Paso, will speak on: Graphical approach to some fixed point problems.Abstract: In this joint talk, we will discuss a new area that overlaps between metric fixed point theory and graph theory. This new area yields interesting generalizations of the Banach contraction principle in metric and modular spaces endowed with a graph. The bridge between both theories is motivated by the fact that they often arise in industrial fields such as image processing engineering, physics, computer science, economics, ladder networks, dynamic programming, control theory, stochastic filtering, statistics, telecommunication and many other applications.


Link to Full Article: Susan Athey, “Machine Learning and Causal Inference for Policy Evaluation”