Kamiar Rahnama Rad

According to our database, Kamiar Rahnama Rad authored at least 15 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Approximate Leave-One-Out Cross Validation for Regression With ℓ₁ Regularizers.

Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki

IEEE Trans. Inf. Theory, November, 2024

Approximate Leave-one-out Cross Validation for Regression with ℓ₁ Regularizers.

Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2021

Consistent Risk Estimation in Moderately High-Dimensional Linear Regression.

Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu

IEEE Trans. Inf. Theory, 2021

2020

Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions.

Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Consistent Risk Estimation in High-Dimensional Linear Regression.

Ji Xu, Arian Maleki, Kamiar Rahnama Rad

CoRR, 2019

2013

Reaching Consensus With Increasing Information.

Pooya Molavi, Ali Jadbabaie, Kamiar Rahnama Rad, Alireza Tahbaz-Salehi

IEEE J. Sel. Top. Signal Process., 2013

2012

Robust particle filters via sequential pairwise reparameterized Gibbs sampling.

Liam Paninski, Kamiar Rahnama Rad, Michael Vidne

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

On consensus and exponentially fast social learning.

Pooya Molavi, Kamiar Rahnama Rad, Alireza Tahbaz-Salehi, Ali Jadbabaie

Proceedings of the American Control Conference, 2012

2011

Nearly Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery.

Kamiar Rahnama Rad

IEEE Trans. Inf. Theory, 2011

Information Rates and Optimal Decoding in Large Neural Populations.

Kamiar Rahnama Rad, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

A new look at state-space models for neural data.

Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu

J. Comput. Neurosci., 2010

Distributed parameter estimation in networks.

Kamiar Rahnama Rad, Alireza Tahbaz-Salehi

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness.

Taro Toyoizumi, Kamiar Rahnama Rad, Liam Paninski

Neural Comput., 2009

Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery

Kamiar Rahnama Rad

CoRR, 2009

Sharp upper bound on error probability of exact sparsity recovery.

Kamiar Rahnama Rad

Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009