UT Austin Data Mining Seminar Series

Since spring 2012, data mining and machine learning speakers have been brought in via the FAI, WNCG, or SSC seminar series.
This seminar series was supported in part by Yahoo! and by IDEAL
Need to schedule a seminar? Contact Prof. Joydeep Ghosh or Yubin Park
For e-mail notifications and more information, join at UT Data Mining Mailing List.

Previous speakers:

Thr. Feb. 23, 2012 @2:00 pm ACES
2.402
Geoff Gordon
Carnegie Mellon University
Spectral learning algorithms for dynamical systems Abstract
PDF
Thr. Feb. 9, 2012 @12:00 pm ACES
2.402
Jaideep Vaidya
Rutgers University
The Role Mining Problem - A formal perspective Abstract
Tue. Nov. 15, 2011 @4:00 pm ENS 637 Deepak K. Agarwal
Yahoo! Research
Targeting Users in Display Advertising through Factor Models Abstract
Slides
Video
Thr. Nov. 10, 2011 @4:00 pm ENS 637 Edo Airoldi
Harvard University
Stochastic blockmodels and other models of biological and information networks ¹ Abstract
Slides
Video
Fri. Nov. 4, 2011 @2:00 pm WCH 1.108, 1.110 Peter Hoff
University of Washington
Separable Models for Multiway Array Data ¹ Abstract
Slides
Video
Fri. Oct. 28, 2011 @11:00 am ACES
2.302 (Avaya)
Jeff Schneider
Carnegie Mellon University
Learning Dynamic Models with Non-sequenced Data Abstract
Slides (ppt)
Video
Fri. Oct. 14, 2011 @2:00 pm WCH 1.108, 1.110 Erik Sudderth
Brown University
Improving the Flexibility and Reliability of Nonparametric Topic Models ¹ Abstract
Mon. Sept. 19, 2011 @3:00 pm ACES
2.302 (Avaya)
Alex Smola
Yahoo! Research
Scaling Machine Learning to the Internet Abstract
Keynote
Slides (pdf)
Thr. Mar. 24, 2011 @11:00 am ENS
115
John Langford
Yahoo! Labs
Learning with Exploration Abstract
Slides
Fri. Mar. 11, 2011 @11:00 am ACES
2.302 (Avaya)
David Pennock
Yahoo! Research
Crowdsourcing Predictions Abstract
Slides
Tue. Feb. 15, 2011 @11:00 am ACES
2.302 (Avaya)
Amir Atiya
Cairo University
Gaussian Processes For Classification Abstract
Slides
Thr. Jan. 27, 2011 @2:00 pm ACES
2.402
Nan Zhang
George Washington University
Data Exploration and Privacy Preservation Over Hidden Web Databases Abstract
Fri. Dec. 03, 2010 @11:00am ACES
6.304
Rajeev Rastogi
Yahoo! Labs Bengalore
Building Knowledge Bases from the Web Abstract
Mon. Nov. 22, 2010 @11:00am ACES
2.302
Bee-Chung Chen
Yahoo! Research
Latent Factor Models for Web Recommender Systems Abstract
Videos
Slides
Fri. Nov. 12, 2010 @11:30am ACES
2.302
Nanda Kambhatla
IBM Research - India
Building Watson - A Brief Overview of DeepQA and the Jeopardy! Challenge Abstract
Thr. Nov. 11, 2010 @2:00pm ACES
2.402
Jeiping Ye
Arizona State University
Large-Scale Structured Sparse Learning Abstract
Slides
Wed. Jun. 26, 2010 @2:30pm ACES
2.402
Joachim M Buhmann
ETH Zurich
Visual INFORMATION: How to find it in images? Abstract
Thu. Apr. 22, 2010 @11am ACES
3.408
Shi Zhong
ClickForensics
Click Fraud and Traffic Quality Modeling for Online Advertising Abstract
Mon. Mar. 15, 2010 @3:00pm ENS
637
Ryan Adams
University of Toronto
Dependent Probabilistic Matrix Factorization Abstract
Wed. Jan. 27, 2010 @11:00am ACES
2.302
Winter Mason
Yahoo! Research
Inferring Social Networks From Interpersonal Communication Abstract
Wed. Sep. 23, 2009 @11:00am ACES
2.302
Charles Elkan
UCSD
Accounting for burstiness of words in text mining Abstract
Wed. Sep. 16, 2009 @11:00am ACES
2.302
Deepak Agarwal
Yahoo! Labs
Statistical Challenges in Recommender System for Web Applications Abstract
Videos
Wed. Apr 22, 2009 @11:00am ACES
2.302
Raghu Ramakrishnan
Yahoo!
Semantics on the Web: How do we get there? Abstract
Tue, Apr 7, 2009 @10:00am ENS
637
George Karypis
University of Minnesota
Advancing Chemical Genetics: Mining the Target-Ligand Activity Matrix Abstract
Wed, Mar 19, 2008 @ 1:30pm ACES
2.402
Joseph Sirosh
Amazon.com
How Analytics Is Revolutionizing E-Commerce Abstract
Thurs, Apr 05, 2007 @ 1:30pm ACES
2.402
Katya Scheinberg
IBM T.J. Watson Research Center
Active set methods for large-scale support vector machines Abstract
Fri, Mar 30, 2007 @ 2:00pm ACES
2.402
Renata Vieira
Universidade do Vale do Rio dos Sinos (UNISINOS)
Have I mentioned it? Abstract
Wed, Mar 14, 2007 @ 11:00am ACES
6.304
Rong Jin
Michigan State University
Generalized Maximum Margin Clustering and Unsupervised Kernel Abstract
Wed, May 3, 2006 @ 4:00pm ACES
2.302
Andrew Tomkins
Yahoo! Research
Routing and growth models for online social networks Abstract
Slides

Older talks are sponsored by Yahoo and/or Tivoli (click for the information)

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