Ray Summit

Distributed XGBoost on Ray

Tuesday, June 22, 7:25PM UTC

Michael Mui, Senior Software Engineer, Uber ML & Kai Fricke, Software Engineer, Anyscale

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Michael Mui and Kai Fricke discuss XGBoost-Ray, a scalable backend for distributed XGBoost training.


Michael Mui

Michael Mui

Senior Software Engineer, Uber ML

Michael is a software engineer on the Michelangelo machine learning platform team at Uber. Michael enjoys applying techniques from optimization and building large-scale distributed systems to solve difficult decision problems. Prior to Uber, he worked at Samsung Research on sensor fusion and probabilistic state estimation. Michael received a B.S in Electrical Engineering and Computer Science (EECS) from Berkeley.

Kai Fricke

Kai Fricke

Software Engineer, Anyscale

Kai is a software engineer at Anyscale, the company behind the distributed computing platform Ray. He mostly works on developing machine learning libraries on top of Ray, like Ray Tune or RaySGD.