Machine Learning Discussion Group Fall 2014
From Cornell CS Wiki
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 Slides (unpublished) plus the following paper: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 |