Refereed Publication:

[*] K. Rahnama Rad and L. Paninski. Scalable convex edge-preserving neighbor-penalized likelihood methods. In progress.

[12] P. Molavi, A. Jadbabaie, K. Rahnama Rad, and A. Tahbaz-Salehi. Adaptation and learning over complex networks. IEEE Journal of Selected Topics in Signal Processing, Special Issues on Adaptation and Learning over Complex Networks, (in press), 2012.

[11] E. Pnevmatikakis, K. Rahnama Rad, Huggins, J. and L. Paninski. Fast Kalman filtering and forward-backward smoothing via a low-rank perturbative approach. Journal of Computational and Graphical Statistics (in press), 2012.

[10] P. Molavi, K. Rahnama Rad, A. Tahbaz-Salehi, and A. Jadbabaie. On consensus and exponentially fast social learning. American Control Conference, pages 2165–2170, 2012.

[9] L. Paninski, K. Rahnama Rad, and M. Vidne. Robust particle filters via sequential pairwise reparameterized Gibbs sampling. IEEE CISS, pages 1-6, 2012.

[8] K. Rahnama Rad and L. Paninski. Information rates and optimal decoding in large neural populations. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 846–854, 2011.

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

[6] K. Rahnama Rad and A. Tahbaz-Salehi. Distributed parameter estimation in networks. IEEE Conference on Decision and Control, pages 5050–5055, 2010.

[5] K. Rahnama Rad and L. Paninski. Efficient estimation of two-dimensional firing rate surfaces via gaussian process methods. Network: Computation in Neural Systems, 21:142– 168, 2010.

[4] L. Paninski, Y. Ahmadian, D. Ferreira, S. Koyama, K. Rahnama Rad, M. Vidne, J. Vogelstein, and W. Wu. A new look at state-space models for neural data. Journal of Computational Neuroscience (special issue on statistical analysis of neural data), 29:107–126, 2009.

[3] K. Rahnama Rad. Sharp upper bound on error probability of exact sparsity recovery. IEEE CISS, pages 14–17, 2009.

[2]   T. Toyoizumi, K. Rahnama Rad, and L. Paninski. Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness. Neural Computation, (21):1203–1243, 2009.

[1]    K. Rahnama Rad and M. Nasiri-Kenari. Iterative detection for V-BLAST MIMO communication systems based on expectation maximization algorithm. IEE Electronic Letters, 40(11):684 – 685, 2004.