Yuansi Chen

Yuansi Chen

Quick Bio:

I am currently a PhD candidate in Statistics department at Berkeley. The research life in Berkeley started in the fall of 2013.
My main research interests lie on machine learning, optimization and computer vision. In particular, I am interested in stability, model selection and applications to computational neuroscience. My current advisor is Professor Bin Yu. Before this, I did my bachelors (Diplome d'Ingenieur, in French) at Ecole Polytechnique in France.
My CV can be found here.


Publications:

Fast and Robust Archetypal Analysis for Representation Learning, [PDF][demo] Yuansi Chen, Julien Mairal and Zaid Harchaoui. IEEE Computer Vision and Pattern Recognition (CVPR) 2014