Welcome to my session TA26 at the 2024 INFORMS Annual Meeting!

I am thrilled to announce that I am chairing a QSR session at the 2024 INFORMS Annual Meeting.

Time & Location: Tuesday from 8:00 AM to 9:15 AM in Summit 346

Session title: Explainable Machine Learning for Knowledge Discovery

We have 4 brilliant speakers from both industry and academia. If you are interested in these presentations, please feel free to join us and connect!

1. Quantifying Causal Influences with Graphical Causal Models for Root Cause Analysis and Beyond – Dr. Patrick Blöbaum, Amazon

2. BRPLE: Bayesian Regularized Post-hoc Local Explanations – Yuhao Zhong, Texas A&M

3. Explainable Machine Learning for Knowledge Discovery in Advanced Manufacturing Systems – Dr. Joseph (Yossi) Cohen, University of Michigan-Ann Arbor

4. A Stochastic Method for Physics Discovery via Sparse Identification of Nonlinear Dynamics – Olabiyi Ridwan, Arizona State University