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

Publications


2016

2015

2013

Contact


Olivier Bachem
Institute of Machine Learning
CAB E 62.2 @ ETH Zurich
olivier.bachem@inf.ethz.ch