Ameet Talwalkar
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I am an NSF postdoctoral fellow at UC Berkeley in the AMPLab working 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, low-rank matrix approximation and computational biology. |
Selected Work
- A Scalable Bootstrap for Massive Data (preprint)
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, code)
L. Mackey, A. Talwalkar and M.I. Jordan
Neural Information Processing Systems (NIPS). 2011 - Can Matrix Coherence be Efficiently and Accurately Estimated? (pdf)
M. Mohri and A. Talwalkar
International Conference on Artificial Intelligence and Statistics (AISTATS oral). 2011
Recent News
- 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!
- September 2010: I am co-organizing a NIPS workshop on Low-rank Methods for Large-scale Machine Learning.
- May 2010: I defended my thesis! I will begin a post-doc at UC Berkeley in August.