Machine Learning Discussion Group Fall 2015

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The Machine Learning Discussion Group (MLDG) is an informal group for discussing the latest work in the field of Machine Learning. We usually discuss a paper from a recent conference (NIPS, ICML, etc) each meeting.

This term (Fall 2015) we are meeting on Wednesdays at 4:15pm in Gates 405.

Schedule of papers

Feel free to volunteer for any available week!

Date Discussion Leader Topic, Paper links
9 Sep 2015 Organizational Meeting
16 Sep 2015 Jake
23 Sep 2015 Daniel Automatic differentiation in machine learning
30 Sep 2015 Yiqing Scalable Bayesian Optimization Using Deep Neural Networks
7 Oct 2015 Tianze Matrix Factorization
14 Oct 2015 Arzoo Tutorial Deep Learning
21 Oct 2015 Nathan An Empirical Exploration of Recurrent Network Architecture (
28 Oct 2015 Jack Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (
4 Nov 2015 Ashudeep Inference of Cause and Effect with Unsupervised Inverse Regression (
11 Nov 2015 Dylan Multiplicative weights method survey
18 Nov 2015 Vlad Discriminative clustering and applications ("A convex relaxation for weakly supervised relation extraction."
25 Nov 2015 None Thanksgiving Break
2 Dec 2015 Yixuan Work in Progress


Who attends the MLDG?

The group is mainly attended by graduate students. The organizers this term are Arzoo Katiyar and Moontae Lee. Suggestions for topics or papers to discuss may be sent to the mailing list and are always welcome.

How do I get involved?

Want to check out MLDG? Stop by any Wednesday. You can also sign yourself up for the mldg mailing list, You can join the list by sending an email with subject "join" (no quotes) to

Archive of previous MLDG pages