Andrew Howard
Columbia University
Department of Computer Science
1214
Amsterdam Avenue
Mailcode 0401
New York, NY 10027-7003
ahoward at cs dot columbia dot edu
I am currently a PhD student in the Department of Computer Science at Columbia University. My research interests are in the field of Machine Learning. My advisor is Prof. Tony Jebara and I work with the Machine Learning Group here at Columbia.
Publications:
A. Howard and
T. Jebara. "Learning
Monotonic Transformations for Classification" .
Neural Information Processing Systems, NIPS, December 2007.
PS
-
PDF
R. Kondor, A.
Howard and T. Jebara. "Multi-Object
Tracking with Representations of the Symmetric Group" .
Artificial Intelligence and Statistics, AISTATS, March 2007.
PS
- PDF
T. Jebara, B.
Shaw and A. Howard. "Optimizing
Eigengaps and Spectral Functions using Iterated SDP" .
Learning Workshop, 2007.
PDF
A. Howard and
T. Jebara. "Square
Root Propagation" .
Columbia University, Computer Science Technical Report, CUCS-040-05.
2005.
PS
-
PDF
T. Jebara, R.
Kondor and A. Howard. "Probability
Product Kernels" .
Journal of Machine Learning Research, JMLR, Special Topic on Learning
Theory, 5(Jul):819-844, 2004.
PS
- PDF
A.
Howard and T. Jebara. "Dynamical
Systems Trees" .
Uncertainty
in Artificial Intelligence, UAI, July 2004.
PS
- PDF
A. Honig, A. Howard, E. Eskin, and S. Stolfo. “Adaptive Model Generation: An Architecture for the Deployment of Data Mining-based Intrusion Detection Systems”. Applications of Data Mining in Computer Security. Kluwer 2002. PS - PDF