C. Monteleoni:
Research
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Publications
S. Dasgupta, D. Hsu, and C.
Monteleoni,
“A general agnostic active learning algorithm,” to appear in
Advances
in Neural Information
Processing Systems (NIPS), 2007.
(long version)
C.
Monteleoni and
M. Kääriäinen, “Practical Online Active Learning for
Classification,” in Proceedings of the IEEE
Conference on Computer Vision and Pattern Recognition, Online
Learning for Classification
Workshop,
(CVPR),
2007.
C.
Monteleoni, "Efficient Algorithms
for General Active
Learning," in Proceedings of the 19th Annual Conference on
Learning Theory, Open Problems,
(COLT), 2006.
S. Dasgupta, A.T. Kalai, and C.
Monteleoni,
“Analysis of perceptron-based active learning,” in Proceedings of the 18th
Annual Conference on Learning Theory (COLT), 2005.
C.
Monteleoni and T.
Jaakkola, “Online Learning of Non-stationary Sequences,” in
Advances
in Neural Information
Processing Systems (NIPS) 16, 2003.
C. Boutilier, M.
Goldszmidt, C. Monteleoni, and B. Sabata,
"Resource Allocation using Sequential Auctions," in
Agent-Mediated Electronic Commerce II, Lecture Notes in Artificial
Intelligence 1788.
Springer-Verlag, 2000.
Kehler et. al, "Information
Extraction, Research and Applications: Current Progress and Future
Directions," in TIPSTER Text Program Phase III Proceedings,
1999.
Theses
"Learning with Online
Constraints: Shifting Concepts and Active Learning," PhD
Thesis,
CSAIL Technical Report 2006-057, MIT, August
2006.
"Online
Learning of Non-stationary Sequences," SM Thesis,
MIT Artificial Intelligence Technical Report 2003-011, May 2003.
Technical Report
C.
Monteleoni, H. Balakrishnan,
N. Feamster, and T. Jaakkola, “Managing the 802.11
Energy/Performance Tradeoff with Machine Learning,” MIT-LCS-TR-971 Technical Report, MIT
Computer Science and Artificial Intelligence Lab,
2004.
(poster)
Presentations
These talk files are licensed to me
under 
.
For the Powerpoint
talks, please install Texpoint
to properly view
the math symbols.
“A general agnostic active
learning algorithm,” Workshop for Women in Machine Learning
(WiML), Orlando, October 2007.
“Practical Online Active Learning for
Classification,” Online Learning for Classification
Workshop, CVPR
2007, Minneapolis, June 2007.
PhD Thesis
Defense: "Learning
with Online Constraints: Shifting Concepts and Active Learning" CSAIL,
MIT, August 2006.
Open Problem talk: "Efficient Algorithms for General
Active Learning"
COLT
2006, CMU, Pittsburgh, June 2006.
C.
Monteleoni and M. Kääriäinen,
"Active
Learning under Arbitrary Distributions" poster
spotlight at
Workshop
on Value of Information in Inference, Learning and Decision-Making,
NIPS 2005, Whistler B.C., December 2005.
"Analysis
of perceptron-based active learning,'' COLT
2005, Bertinoro, Italy, June 2005. Similar content appeared
in "Fast Online Active Learning,'' CSAIL
Student Seminar, MIT, May 2005, UCSD
Department of Computer Science and Engineering, August 2005,
and
Yale Computer Science Department,
November 2005.
"Online Learning of Non-stationary
Sequences,''
CSAIL
Student Seminar, MIT, April 2004, Toyota Technological Institute at
Chicago (TTI-C), June 2004.
Other
Organized "Foundations
of Active
Learning" with R.
Gilad-Bachrach and M.
Kääriäinen, workshop at NIPS 2005.
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