Carlos Guestrin
Stanford computer science professor; co-author of XGBoost and LIME and co-founder of Turi
- Professor, Computer Science; Fortinet Founders Professor and Senior Fellow at the Stanford Institute for Human-Centered AI, Stanford University1
Carlos Guestrin is a Professor of Computer Science at Stanford University, the Fortinet Founders Professor, and a Senior Fellow at the Stanford Institute for Human-Centered AI. Guestrin was previously the Amazon Professor of Machine Learning at the University of Washington and the Finmeccanica Associate Professor at Carnegie Mellon University. Guestrin co-founded Turi (formerly GraphLab and Dato) and, after Apple acquired it, served as Apple's Senior Director of Machine Learning and AI. Guestrin's teams released open-source projects including XGBoost, LIME, Apache TVM, MXNet, Turi Create and GraphLab/PowerGraph, and Guestrin co-authored the XGBoost paper with Tianqi Chen and the LIME paper on explaining the predictions of any classifier.123
Work
XGBoost (external site: github.com)Open-source code
Co-author with Tianqi Chen of "XGBoost: A Scalable Tree Boosting System" (2016); the Stanford profile lists XGBoost among the open-source projects released by Guestrin's team.214
LIME (external site: arxiv.org)Published research
Co-author of "Why Should I Trust You?": Explaining the Predictions of Any Classifier (2016), which introduced LIME for explaining individual predictions of any classifier.31
Other documented roles
Roles the sources document but that are not confirmed as current.
- Senior Director of Machine Learning and AI, Apple1
- Amazon Professor of Machine Learning, Computer Science & Engineering, University of Washington1
- Finmeccanica Associate Professor, Carnegie Mellon University1
- Co-founder, Turi, Inc. (formerly GraphLab and Dato)1
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