Olivier Bachem

Olivier Bachem

I am a research scientist at Google Brain interested in fundamental problems in machine learning and artificial intelligence.

Before that I was a doctoral student in the Learning and Adaptive Systems Group at ETH Zurich, supervised by Andreas Krause. In my PhD studies, I investigated coresets - small summaries of large data sets with theoretical guarantees - and other sampling methods for large-scale machine learning.

During my PhD, I also held a Google PhD Fellowship in Machine Learning and was an Associated Fellow at the Max Planck ETH Center for Learning Systems.

NIPS 2016 Fast and Provably Good Seedings for k-Means

Our paper Fast and Provably Good Seedings for k-Means was accepted for an oral presentation at NIPS 2016 in Barcelona.

Check out our 3 minute spotlight for a quick preview or the full 20 minute presentation! The slides of the oral presentation are available here.

NIPS 2016 presentation








Olivier Bachem