Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings. - Zou, Haolin; Auddy, Arnab; Rad, Kamiar Rahnama; Maleki, Arian (2025)

Certified Data Removal Under High-dimensional Settings. - Zou, Haolin; Auddy, Arnab; Kwon, Yongchan; Rad, Kamiar Rahnama; Maleki, Arian (CoRR, 2025)

Approximate Leave-One-Out Cross Validation for Regression With ℓ₁ Regularizers. - Auddy, Arnab; Zou, Haolin; Rad, Kamiar Rahnama; Maleki, Arian (IEEE Trans. Inf. Theory, 2024)

Approximate Leave-one-out Cross Validation for Regression with ℓ1 Regularizers. - Auddy, Arnab; Zou, Haolin; Rad, Kamiar Rahnama; Maleki, Arian (2024)

Consistent Risk Estimation in Moderately High-Dimensional Linear Regression. - Xu, Ji; Maleki, Arian; Rad, Kamiar Rahnama; Hsu, Daniel (IEEE Trans. Inf. Theory, 2021)

Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. - Rad, Kamiar Rahnama; Zhou, Wenda; Maleki, Arian (2020)

Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. - Rad, Kamiar Rahnama; Zhou, Wenda; Maleki, Arian (CoRR, 2020)

Consistent Risk Estimation in High-Dimensional Linear Regression. - Xu, Ji; Maleki, Arian; Rad, Kamiar Rahnama (CoRR, 2019)

Reaching Consensus With Increasing Information. - Molavi, Pooya; Jadbabaie, Ali; Rad, Kamiar Rahnama; Tahbaz-Salehi, Alireza (IEEE J. Sel. Top. Signal Process., 2013)

On consensus and exponentially fast social learning. - Molavi, Pooya; Rad, Kamiar Rahnama; Tahbaz-Salehi, Alireza; Jadbabaie, Ali (2012)

Robust particle filters via sequential pairwise reparameterized Gibbs sampling. - Paninski, Liam; Rad, Kamiar Rahnama; Vidne, Michael (2012)

Nearly Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery. - Rad, Kamiar Rahnama (IEEE Trans. Inf. Theory, 2011)

Information Rates and Optimal Decoding in Large Neural Populations. - Rad, Kamiar Rahnama; Paninski, Liam (2011)

A new look at state-space models for neural data. - Paninski, Liam; Ahmadian, Yashar; Ferreira, Daniel Gil; Koyama, Shinsuke; Rad, Kamiar Rahnama; Vidne, Michael; Vogelstein, Joshua T.; Wu, Wei (J. Comput. Neurosci., 2010)

Distributed parameter estimation in networks. - Rad, Kamiar Rahnama; Tahbaz-Salehi, Alireza (2010)

Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness. - Toyoizumi, Taro; Rad, Kamiar Rahnama; Paninski, Liam (Neural Comput., 2009)

Sharp upper bound on error probability of exact sparsity recovery. - Rad, Kamiar Rahnama (2009)

Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery - Rad, Kamiar Rahnama (CoRR, 2009)