about MLT

Machine Learning Tea is a weekly informal gathering for researchers in machine learning and those in the related fields such as computational neuroscience, AI, statistics, etc. At the gathering, we will be entertained by a 15-30 minute mini chalk-talk on interesting topics in ML or related fields. Occasionally, the talks are given by the visitors from outside Cambridge area to present their own work. 


When: Weds. 4-5pm 
Where: Maxwell Dworkin 223 

 

Please volunteer to give a tea talk! Contact the organizers (SueYeon Chung, Michael Gelbart) if you are interested. 
To get weekly announcements about the tea, subscribe to the listserv


Spring 2012 Schedule 
3/28/2012: Michael Gelbart , Non-negative matrix factorization 
4/4/2012: Cengiz Pehlevan, Gradient Learning in Spiking Neural Networks (http://prl.aps.org/pdf/PRL/v97/i4/e048104)
4/11/2012: Dogus Cubuk, Modeling of Molecular Atomization Energies with Machine Learning (http://prl.aps.org/abstract/PRL/v108/i5/e058301)
4/18/2012: Visitor: Andrew Wilson
4/25/2012: Varun Kanade, A Spectral Algorithm for Learning Hidden Markov Models (http://arxiv.org/abs/0811.4413)
5/2/2012: Gaston Fiore, Driving with knowledge from the physical world (http://dl.acm.org/citation.cfm?id=2020462)
5/9/2012: Visitor: Quoc Le
5/16/2012: cancelled (NEML day)
5/23/2012: Miriam Huntley, Detecting Novel Associations in Large Data Sets (http://www.sciencemag.org/content/334/6062/1518.full)
5/30/2012: SueYeon Chung, Query by committee 
6/6/2012: Ken Arnold, t-SNE
6/13/2012: Robert Nishihara, online LDA

Fall 2012 Schedule 
8/29/2012: Adel Javanmard Information-theoretically optimal compressed sensing via spatial coupling and approximate message passing
9/5/2012: Tim Miller
9/19/2012 George Konidaris
9/26/2012 Cambridge ML Colloquium, Vapnik
10/10/2012 Scott Lindermann
10/17/2012 Eyal Dechter
10/24/2012 Oren Rippel
10/31/2012 Rob Fergus