I am an NSF postdoctoral fellow in the EECS department at Berkeley, working in the AMPLab with Mike Jordan. Previously, I was student at the Courant Institute (NYU) working with Mehryar Mohri. My interests include problems in large-scale machine learning, matrix factorization and computational genomics.
- MLbase: A Distributed Machine Learning System (pdf, webpage)
T. Kraska, A. Talwalkar, J. Duchi, R. Griffith, M.J. Franklin, M.I. Jordan
Conference on Innovative Data Systems Research (CIDR). 2013
- The Big Data Bootstrap (pdf, long version, slides)
A. Kleiner, A. Talwalkar, P. Sarkar, M.I. Jordan
International Conference on Machine Learning (ICML). 2012
- Sampling Methods for the Nyström method (pdf)
S. Kumar, M. Mohri, A. Talwalkar
Journal of Machine Learning Research (JMLR). 2012
- Divide-and-Conquer Matrix Factorization (pdf, long version, webpage)
L. Mackey, A. Talwalkar and M.I. Jordan
Neural Information Processing Systems (NIPS). 2011
- August 2012: Our textbook, Foundations of Machine Learning (MIT Press), has been published.
- September 2011: I am co-organizing a NIPS workshop on Sparse Representation and Low-rank Approximation.
- August 2011: I received an NSF OCI postdoctoral fellowship!
- March 2011: I am a recipient of the 2011 Janet Fabri Prize for best doctoral dissertation in NYU's Computer Science Department!