Olivier Bachem

Olivier Bachem

I am a doctoral student in the Learning and Adaptive Systems Group at ETH Zurich, supervised by Andreas Krause.

I currently hold a Google PhD Fellowship in Machine Learning and am an Associated Fellow at the Max Planck ETH Center for Learning Systems.

My research focus is on coresets - small summaries of large data sets with theoretical guarantees - and other nonuniform sampling methods for large-scale machine learning.

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
Institute of Machine Learning
CAB E 62.2 @ ETH Zurich