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Kamiar Rahnama Rad
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2020 – today
- 2024
- [j6]Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki:
Approximate Leave-One-Out Cross Validation for Regression With ℓ₁ Regularizers. IEEE Trans. Inf. Theory 70(11): 8040-8071 (2024) - [c7]Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki:
Approximate Leave-one-out Cross Validation for Regression with ℓ1 Regularizers. AISTATS 2024: 2377-2385 - 2021
- [j5]Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu:
Consistent Risk Estimation in Moderately High-Dimensional Linear Regression. IEEE Trans. Inf. Theory 67(9): 5997-6030 (2021) - 2020
- [c6]Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki:
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. AISTATS 2020: 4067-4077 - [i3]Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki:
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. CoRR abs/2003.01770 (2020)
2010 – 2019
- 2019
- [i2]Ji Xu, Arian Maleki, Kamiar Rahnama Rad:
Consistent Risk Estimation in High-Dimensional Linear Regression. CoRR abs/1902.01753 (2019) - 2013
- [j4]Pooya Molavi, Ali Jadbabaie, Kamiar Rahnama Rad, Alireza Tahbaz-Salehi:
Reaching Consensus With Increasing Information. IEEE J. Sel. Top. Signal Process. 7(2): 358-369 (2013) - 2012
- [c5]Pooya Molavi, Kamiar Rahnama Rad, Alireza Tahbaz-Salehi, Ali Jadbabaie:
On consensus and exponentially fast social learning. ACC 2012: 2165-2170 - [c4]Liam Paninski, Kamiar Rahnama Rad, Michael Vidne:
Robust particle filters via sequential pairwise reparameterized Gibbs sampling. CISS 2012: 1-6 - 2011
- [j3]Kamiar Rahnama Rad:
Nearly Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery. IEEE Trans. Inf. Theory 57(7): 4672-4679 (2011) - [c3]Kamiar Rahnama Rad, Liam Paninski:
Information Rates and Optimal Decoding in Large Neural Populations. NIPS 2011: 846-854 - 2010
- [j2]Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu:
A new look at state-space models for neural data. J. Comput. Neurosci. 29(1-2): 107-126 (2010) - [c2]Kamiar Rahnama Rad, Alireza Tahbaz-Salehi:
Distributed parameter estimation in networks. CDC 2010: 5050-5055
2000 – 2009
- 2009
- [j1]Taro Toyoizumi, Kamiar Rahnama Rad, Liam Paninski:
Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness. Neural Comput. 21(5): 1203-1243 (2009) - [c1]Kamiar Rahnama Rad:
Sharp upper bound on error probability of exact sparsity recovery. CISS 2009: 14-17 - [i1]Kamiar Rahnama Rad:
Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery. CoRR abs/0910.0456 (2009)
Coauthor Index
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