Events Calendar

CS Colloquium: Heng-Tze Cheng (Google Research) - Sibyl: Google-Scale Machine Learning

Speaker: Heng-Tze Cheng, Google Research

Talk Title: Sibyl: Google-Scale Machine Learning

Series: CS Colloquium

Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium

Sibyl is one of the most widely used machine learning and prediction systems at Google, actively used in production in nearly every product area. Designed for the largest datasets at Google, Sibyl scales up to hundreds of billions of training examples and billions of features. Sibyl is used for various prediction tasks ranging from classification, regression, ranking to recommendations. Beyond core learning algorithms and scalable distributed systems, Sibyl contains a suite of data processing, monitoring, analysis, and serving tools, making it a robust and easy-to-use production system.

This lecture will be available to stream HERE.

Biography: Heng-Tze Cheng is currently a senior software engineer on the Sibyl large-scale machine learning team at Google Research. He has developed new search, ranking, and recommendation systems that are widely used across Google products. Heng-Tze received his Ph.D. from Carnegie Mellon University in 2013 and B.S. from National Taiwan University in 2008. His research interests include machine learning, user behavior modeling, and human activity recognition, with over 20 publications and 3 U.S. patents in the related fields.

Host: Yan Liu

Webcast: https://bluejeans.com/467893187

Location: Henry Salvatori Computer Science Center (SAL) - 101

WebCast Link: https://bluejeans.com/467893187

Audiences: Everyone Is Invited

Contact: Assistant to CS chair