Kamiar Rahnama Rad

Academic Degrees

BS, Sharif University of Technology, Electrical Engineering, 2004

MS, UCLA, Electrical Engineering, 2006

PhD, Columbia University, Statistics, 2011

Areas of Expertise

Scalable High Dimensional Inference, Machine Learning, Computational Neuroscience

Publications

K.Rahnama Rad, T. Machado, and L. Paninski, Robust and scalable Bayesian analysis of spatial neural tuning function data, Annals of Applied Statistics (in press), 2017.

EA Pnevmatikakis, K. Rahnama Rad, J Huggins, L Paninski, Fast Kalman Filtering and Forward–Backward Smoothing via a Low-Rank Perturbative Approach, Journal of Computational and Graphical Statistics 23 (2), 316-339, 2014.

K. Rahnama Rad, Nearly sharp sufficient conditions on exact sparsity pattern recovery, IEEE Transactions on Information Theory 57 (7), 4672-4679, 2011.