Center for Intelligent Systems Seminar (CS298-10)

SPRING 2008 Schedule

Coordinated by: Sasha Rakhlin

Jan 24	Isabelle Guyon Clopinet	Causation and Prediction Challenge
Feb 07	Sylvain Arlot Université Paris-Sud	V-fold penalization: an alternative to V-fold cross-validation
Feb 14	Susan Holmes Stanford University	Horseshoes and Dichotomies: Finding the hidden variables
Feb 19	Sridhar Mahadevan University of Massachusetts, Amherst	Representation Discovery Using Harmonic Analysis
Feb 28	Michael Bowling University of Alberta	AI After Dark: Computers Playing Poker
Mar 06	Peter Grunwald CWI Amsterdam	Suboptimality of Bayesian Inference When the Model Is Wrong
Mar 27	Spring Break
Apr 03	Hang Li Microsoft Research	Learning to Rank - From Pairwise Approach to Listwise Approach
Apr 10	Eyal Amir UIUC	Reinventing Partially Observable Reinforcement Learning
Apr 17	Olivier Chapelle Yahoo! Research	Optimization techniques for Support Vector Machines
Apr 24	Sanjoy Dasgupta UCSD	Random Projection Trees and Low Dimensional Manifolds
May 01	Elad Hazan IBM Research, Almaden	Adaptive Algorithms for Online Convex Optimization
May 08	Andrew Y. Ng Stanford University	STAIR: The STanford Artificial Intelligence Robot project
May 15	Mark Johnson Brown University	Learning Rules with Adaptor Grammars

FALL 2007 Schedule

Oct 04	Andrew Barron and Cong Huang Yale University	A simple algorithm for fast and accurate L1-penalized least squares
Oct 11	Shahar Mendelson Australian National University and Technion	Reconstruction and subgaussian processes
Oct 18	Phil Long Google Research	Boosting the Area Under the ROC Curve
Oct 25	Ambuj Tewari UC Berkeley	Low Regret Algorithms for Multi-armed Bandits and MDPs
Nov 1	Stuart Russell UC Berkeley	State estimation for neurocritical care patients
Nov 8	Guy Lebanon Purdue University	Sequential Document Visualization
Nov 15	Gal Elidan Stanford University	Learning Bounded Treewidth Bayesian Networks
Nov 22	Thanksgiving
Nov 29	Francis Bach Ecole Normale Superieure / INRIA	Consistency of the group Lasso and multiple kernel learning

Seminar Information

TIME:	By Announcement Thursdays, 4pm until 5:30pm.
LOCATION & DIRECTIONS:	Soda Hall, Room 405 (Campus Map (Soda Hall is at A4-A5))
ANNOUNCEMENTS:	To join the CIS (Center for Intelligent Systems) Seminar mailing list, register online and subscribe to "cis-seminar"

With the newly established Center for Intelligent Systems (CIS) the AI/Robotics/Vision/NLP seminar is now the forum for presentations relating to the interests of the Center's members. The talks are intended to create awareness and interest for all of the members of the AI, Vision, NLP, Robotics, Theory, and Systems communities, with the intention of bridging the gaps and creating collaborations.