Sr. No.	Title	Speaker	Speaker's Affiliation	Date	Time	Venue
1	Structured models for information extraction	Sunita Sarawagi	Department of CSE, IIT Bombay	Dec. 7, 2009	15:00 Hrs	BSB 361
2	Where do Rewards Come From?	Andy Barto	Department of CSE, University of Massachusetts - Amherst	Dec. 16, 2009	11:00 Hrs	BSB 361
3	Graphical model selection in high dimensions: Practical algorithms and fundamental limits	Martin Wainwright	Department of Electrical Engineering and Computer Sciences, and Department of Statistics, University of California - Berkeley	Jan 15, 2010	14:00 Hrs	BSB 361
4	Mixed norm regularization for Multiple Kernel learning	Chiranjib Bhattacharyya	Department of Computer Science and Automation, Indian Institute of Science, Bangalore	March 25, 2010	14:00 Hrs	BSB 361
5	Multi-task kernel learning	J. Saketh Nath	Department of Computer Science and Engineering, IIT Bombay	Jun 30, 2010	11:00 Hrs	BSB 361
6	Recommender Problems for Web Applications	Deepak K. Agarwal	Principal Research Scientist, Yahoo! Research, Silicon Valley	Jul 07, 2010	11:00 Hrs	BSB 361
7	Efficient Statistical Relational Learning	Sriraam Natarajan	Post-Doctoral Research Associate, Department of Computer Science and Engineering, University of Wisconsin-Madison, USA.	Jul 29, 2010	11:00 Hrs	BSB 361
8	Efficient Detection of Collusion Data in Stock Market Trading	Girish Palshikar	TRDDC, Pune.	Aug 10, 2010	16:30 Hrs	BSB 361
9	Large scale max-margin multi-label classification with priors	Dr Manik Varma	Microsoft Research India.	Sept 17, 2010	14:00 Hrs	BSB 361
10	Reinforcement Learning Algorithms and an Application to Road Traffic Control	Shalabh Bhatnagar	Department of Computer Science and Automation, Indian Institute of Science, Bangalore	Oct 08, 2010	15:15 Hrs	BSB 361
11	Representation Discovery for Manifold Alignment and Control	Sridhar Mahadevan	Department of Computer Science, University of Massachusetts, Amherst	Jan 14, 2011	16:00 Hrs	BSB 361