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