Congratulations David!

David Hong was awarded the Richard and Eleanor Towner Prize for Outstanding PhD Research at the Michigan Engineering Graduate Symposium. This is a prize awarded annually across the entire college of engineering to PhD students within about a year of graduation, and the criteria for selection are creativity, innovation, impact on society, and achievement. Congratulations David!

ICML Acceptances, SIAM OPT success

Congratulations to postdoc Greg Ongie, whose excellent work on Variety Models for Matrix Completion has been accepted to ICML. We’re very excited about the potential applications and open problems that we posed in this work. Congratulations also to John Lipor, whose work on Active Subspace Clustering has also been accepted to ICML — I’ve spoken about this work before at the Simons Institute workshop on Interactive Learning. It achieves state of the art clustering error on several benchmark datasets using very few pairwise cluster queries.

We also just finished a week at the SIAM Optimization conference, where our mini-symposium on Non-convex Optimization in Data Analysis was a huge hit. We had a full room for each session and 12 outstanding talks. Thanks to my co-organizers Stephen Wright, Rebecca Willett, and Rob Nowak, and thanks to all the speakers and participants.

Student accomplishments

Congratulations to John Lipor for passing his proposal defense!

Congratulations to David Hong for winning both the session award for (SIC) Signal and Image Processing, Computer Vision at the University of Michigan Engineering Graduate Symposium and the award for Most Interesting Methodological Advancement in the Michigan MIDAS Symposium for his work on heteroscedastic PCA.

Congratulations to Chenlan Wang for winning the Rackham International Student Fellowship.

Nice work team!