Ray Summit
Distributed XGBoost on Ray
Tuesday, June 22, 7:25PM UTCMichael Mui, Senior Software Engineer, Uber ML & Kai Fricke, Software Engineer, Anyscale
Michael Mui and Kai Fricke discuss XGBoost-Ray, a scalable backend for distributed XGBoost training.
Speakers
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
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.