STatistical AI Reading Group previous readings: September-December, 2002

September 16 (Stairmaster: Kevin):
Karl Pfleger, Learning Predictive Compositional Hierarchies, Technical Report, KSL-01-09, Computer Science Department, Stanford University. Postscript .

Karl Pfleger, On-Line Cumulative Learning of Hierarchical Sparse n-grams, submitted to NIPS-2002. Postscript .

September 23 (Stairmaster: Yu-Han):
Carlos Guestrin and Geoffrey Gordon, Distributed Planning in Hierarchical Factored MDPs, UAI-2002. Postscript .

September 30 (Stairmaster: Leslie):
Yoav Freund, Robert E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, European Conference on Computational Learning Theory (1995). Compressed postscript

October 7 (Stairmaster: Georgios):
Benjamin Kuipers and Patrick Beeson. 2002. Bootstrap learning for place recognition. Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02). html

J. Wolf, W. Burgard, H. Burkhardt. Robust Vision-based Localization for Mobile Robots using an Image Retrieval System Based on Invariant Features. In Proc. of the IEEE International Conference on Robotics & Automation. html

October 21 ( Special STAIR outing):
This week's brains & machines seminar series features Stephen Smale speaking on statistical learning . Meets in E25-401 at 3:00. Abstract

October 28 (Stairmaster: Natalia):
"Inductive Policy Selection for First-Order Markov Decision Processes", UAI-2002 Sung Wook Yoon, Alan Fern, Robert Givan, Postscript

"Learning generalized policies in planning using concept languages", KR-2000 Mario Martin and Hector Geffner, Postscript

November 4 ( Special STAIR outing):
This week we will attend Rich Sutton's talk in NE43-941 at 4:00. Abstract

November 18 (Stairmaster: Kurt):
Hei Chan, Adnan Darwiche
"When do numbers really matter?"
Conference paper (UAI-01) (shorter)
Journal paper (JAIR-02) (longer)

(there is an associated tech report that is very similar to the JAIR paper, and so we won't be talking about it)


November 25 (Stairmaster: Georgios):
N. Roy and G. Gordon. ``Exponential Family PCA for Belief Compression in POMDPs''. Advances in Neural Information Processing (15) NIPS, Vancouver, BC. Dec. 2002. To appear. Compressed postscript . PDF .

(Recommended background reading)
Michael Collins Sanjoy Dasgupta Robert E. Schapire. "A Generalization of Principal Component Analysis to the Exponential Family". NIPS 2001 . Postscript.

Geoggrey J. Gordon. "Generalized Linear Models". NIPS 2002. To appear. Compresed postscript.

December 3rd(Stairmaster: Kevin):
Katy S. Azoury, M. K. Warmuth. "Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions". Machine Learning, 43:211-246, 2001. Postscript .