Location: ACES 3.116 Time: Wednesdays, 10-11, every other week. Other reading groups: Reading Groups
Theme | Graph Laplacians and large scale data mining. |
Paper | N. Halko, P.G. Martinsson, and J.A. Tropp: Finding structure with randomness PAPER: http://amath.colorado.edu/faculty/martinss/Pubs/2009_HMT_random_review.pdf SLIDES: http://www2.cse.iitk.ac.in/~fsttcs/2009/wapmds/slides/JoelTropp.pdf |
Proposer | Berkant Savas |
Notes | The paper may be too long (81 pages) to print out but the ideas are very simple. Check the slides first. |
Date | 24 Mar 2010. 7 Apr 2010. |
Paper | Semi-supervised Learning in Gigantic Image Collections Rob Fergus, Yair Weiss and Antonio Torralba, NIPS 2009.. |
Presenter | Nagarajan Natarajan |
Date | 17th Feb 2010. |
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Paper | http://www.cs.cmu.edu/~skumar/ens.pdf Ensemble Nystrom Method, Sanjiv Kumar, Mehryar Mohri and Ameet Talwalkar |
Proposer | Zhengdong Lu |
Why? | similar topic as the two other papers from NIPS09 |
Paper | http://www.cbrc.jp/~tsuda/pdf/icml05.pdf Propagating Distributions on a Hypergrap by Dual Information Regularization, Koji Tsuda. ICML05 |
Proposer | Zhengdong Lu |
Why? | A paper on KL-based objective for semi-supervised learning paper. Relevant to the Rob Fergus paper, actually cited by them. I read it years ago and found it interesting. |
Paper | Mark Herbster, Massimiliano Pontil, Sergio Rojas Galeano: Fast Prediction on a Tree. 657-664 http://books.nips.cc/papers/files/nips21/NIPS2008_0824.pdf |
Proposer | Inderjit Dhillon |
Why? |