Soumya Ray
Email: sray AT eecs _oregonstate_edu
Mailing Address: School of Electrical Engineering and Computer Science, 1148 Kelley Engineering Center, Oregon State University, Corvallis, OR 97331
Teaching
I helped Prof.
Thomas Reps teach CS 536 in Fall 1999.
Research
I am currently working with Profs. Alan Fern, Prasad Tadepalli
and Tom Dietterich
on Transfer Learning. This project aims to develop techniques that can
effectively transfer knowledge acquired about one task to help in
solving another, different task. We are focusing on developing
techniques that transfer knowledge between different scenarios in
real-time strategy games.
For my thesis, I worked with Prof. Mark Craven
and Prof. David Page . I
designed algorithms for (i) efficiently learning
Boolean functions from data that are hard for greedy methods (parity is
an example of such a function), and (ii) learning from
multiple-instance representations, including regression in a
multiple-instance setting. I've also worked on (and am interested in)
information extraction from free text in biomedical domains (with Mark
Craven) and machine learning for question-answering (with Eric Brill).
Publications
- N. Mehta, S. Ray, P. Tadepalli and T. Dietterich (2008).
Automatic Discovery and Transfer of MAXQ Hierarchies.
To appear in the Proceedings of the 25th International Conference
on Machine Learning, Helsinki, Finland.
- L. Hellerstein, B. Rosell, E. Bach, S. Ray and D. Page (2008).
Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions. (submitted)
Tech report version
Eric Bach's paper on improved bounds for the number of correlation-immune functions.
- B. Settles, M. Craven and S. Ray (2007).
Multiple-Instance Active Learning.
pdf
Appears in the Proceedings of the 21st Conference on Neural Information Processing Systems, Vancouver, BC, Canada.
- H. Chan, A. Fern, S. Ray, N. Wilson and C. Ventura (2007).
Online Planning for Resource Production in Real-Time Strategy Games.
pdf
Appears in the Proceedings of the 17th International Conference on Automated Planning & Scheduling, Providence, RI, USA.
- E. Lantz, S. Ray and D. Page (2007).
Learning Bayesian Network Structure from Correlation-Immune Data.
pdf
Appears in the Proceedings of the 23rd Conference
on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada.
- A. Wilson, A. Fern, S. Ray and P. Tadepalli (2007).
Multi-task Reinforcement Learning: A Hierarchical Bayesian
Approach. pdf ps.gz
Appears in the Proceedings of the 24th International Conference
on Machine Learning, Corvallis, OR, USA.
- J. Davis, V. S. Costa, S. Ray and D. Page (2007).
An Integrated Approach to Feature Invention and Model Construction for
Drug Activity Prediction. pdf
ps.gz
Appears in the Proceedings of the 24th International Conference
on Machine Learning, Corvallis, OR, USA.
- S. Ray (2005).
Learning from Data with Complex Interactions and Ambiguous
Labels. ps
pdf ps.gz
PhD thesis, Department of Computer Sciences, University of
Wisconsin-Madison, Madison, WI, USA.
- S. Ray & M. Craven (2005).
Supervised versus Multiple-Instance Learning: An Empirical
Comparison. ps
pdf ps.gz
Appears in the Proceedings of the 22nd International Conference
on Machine Learning, Bonn, Germany.
- B. Rosell, L. Hellerstein, S. Ray & D. Page (2005).
Why Skewing works: Learning Difficult Boolean Functions with Greedy
Tree Learners. ps
pdf ps.gz
Appears in the Proceedings of the 22nd International Conference
on Machine Learning, Bonn, Germany.
- S. Ray & D. Page (2005).
Generalized Skewing for Functions with Continuous and Nominal
Attributes. ps pdf ps.gz
Appears in the Proceedings of the 22nd International Conference
on Machine Learning, Bonn, Germany.
- S. Ray & M. Craven (2005).
Learning Statistical
Models for Annotating Proteins with Function Information using
Biomedical Text.
Appears in BMC Bioinformatics,
Vol 6(Suppl 1). online
ps pdf ps.gz
- S. Ray & D. Page (2004).
Sequential Skewing: An Improved Skewing Algorithm. ps pdf ps.gz
Appears in the Proceedings of the 21st International Conference
on Machine Learning, Banff, Canada.
- D. Page & S. Ray (2003).
Skewing: An Efficient Alternative to Lookahead for Decision Tree
Induction. ps pdf ps.gz
Appears in the Proceedings of the 18th International Joint Conference
on Artificial Intelligence, Acapulco, Mexico.
- M. Skounakis, M. Craven & S. Ray (2003).
Hierarchical Hidden Markov Models for Information Extraction. pdf
Appears in the Proceedings of the 18th International Joint Conference
on Artificial Intelligence, Acapulco, Mexico.
- S. Ray & M. Craven (2001).
Representing Sentence Structure in Hidden Markov Models for Information
Extraction. ps
pdf ps.gz
Appears
in the Proceedings
of the 17th International Joint Conference on Artificial Intelligence,
Seattle, WA, USA.
- S. Ray & D. Page (2001).
Multiple Instance Regression. ps pdf ps.gz
Appears
in the Proceedings
of the 18th International Conference on Machine Learning, Williamstown,
MA, USA.
Workshop Publications
- N. Mehta, M. Wynkoop, S. Ray, P. Tadepalli and T. Dietterich (2007).
Automatic Induction of MAXQ Hierarchies.
pdf
Hierarchical Organization of Behavior Workshop,
21st Conference on Neural Information Processing Systems, Vancouver, BC, Canada.
- H. Chan, A. Fern, S. Ray, N. Wilson and C. Ventura (2007).
Extending Online Planning for Resource Production in Real-Time Strategy Games with Search.
pdf
Workshop on Planning in Games, ICAPS 2007, Providence, RI, USA.
Miscellaneous Activities
Home UW-Madison UW-Computer Sciences
Oregon
State EECS
Last update 4/15/2008
