Machine Learning and Applications Seminar
Sponsored by 
Semester: Spring 2011
Time: Thursdays, noon-1pm
Place: LWSN 3102
Coordinators: Nan Ding (ding10) and Vasil Denchev (vdenchev)
If you wish to receive ML seminar announcements, please subscribe to the seminar's mailing list. If you would like to give a talk in the seminar then please get in touch with the coordinators.
January 2011
January 13:
Reproducible Machine Learning Research: Using Tools Efficiently,
S V N Vishwanathan, Departments of Statistics and Computer Science, Purdue University (Slides and NIPS-2010 paper which will be used for a case-study)
January 20:
NO SEMINAR
January 27: NO SEMINAR
February 2011
February 3: Non-commutative harmonic analysis in machine learning,
Risi Kondor, Center for the Mathematics of Information, Caltech. Slides Itinerary
February 10: NO SEMINAR
February 17: Turning ideas into reality - Scalable Bayesian Learning,
Alan Qi, Department of Computer Science, Purdue University
February 25 (Joint ML Seminar and Statistics Colloquium): (10:30-11:30am, LWSN B155) Consensus Finding, Exponential Models, and Infinite Rankings,
Marina Meila, Statistics Department, University of Washington
March 2011
March 3: Uncertain Inference and Artificial Intelligence,
Chuanhai Liu, Department of Statistics, Purdue University Slides
March 10: Towards Deeper Analysis of User Generated Content: Adding Semantics and Topics to Profiles, Links and Communities,
Sofus Macskassy, Fetch Technologies Slides Itinerary, Video
March 17: SPRING BREAK – NO SEMINAR
March 23 (Special Session): Learning with Exploration,
John Langford, Yahoo! Research, Slides,
Video
March 24: Nonparametric Divergence Estimation,
Barnabás Póczos, Carnegie Mellon University (itinerary),
Slides,
Video
March 31: Generating Similar Graphs from Spherical Features,
Dalton Lunga, Electrical and Computer Engineering, Purdue University
April 2011
April 7: Class-Based Contextualized Search,
Paul Bennett, Microsoft Research, Itinerary,
Slides,
Video
April 14: Markovian (and conceivably causal) representations of stochastic processes,
Cosma Shalizi, Statistics Department, Carnegie Mellon University (itinerary),
Slides,
Video
April 21: Across-Model Collective Ensemble Classification,
Hoda Eldardiry, Computer Science Department, Purdue University
April 28: Object Detection Grammars,
David McAllester, Toyota Technological Institute at Chicago Itinerary,
Slides,
Video
