Machine Learning Discussion Group Fall 2014

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This is an archive of a past MLDG. For current info, see Machine Learning Discussion Group.

Schedule of papers

Date Discussion Leader Topic, Paper links
9/25/14 Jason A few alternatives to backprop. Slides (unpublished) plus the following paper:

How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation, Bengio, arXiv 2014.

10/8/14 none
10/15/14 org meeting
10/22/14 Adith Ideas combining interactive machine learning and mechanism design, discussion starting point:

Mechanism Design for Data Science, Chawla et al, arXiv 2014.

10/29/14 Arzoo
11/5/14 Dylan Do Deep Nets Really Need to be Deep?
11/12/14 Vikram Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
11/19/14 Jack Practical Bayesian Optimization of Machine Learning Algorithms
11/26/14 probably none Day before Thanksgiving
12/3/14 Karthik and Jason General ML discussion (K), practice NIPS talk (J)
12/10/14 none NIPS