Kamiar Rahnama Rad

20 papers A 3C 1Misc 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Certified Data Removal Under High-dimensional Settings. CoRR Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
2025	J	`jnl`	Certified Machine Unlearning Under High Dimensional Regime. J. Mach. Learn. Res. Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
2025	J	`jnl`	Newfluence: Boosting Model interpretability and Understanding in High Dimensions. CoRR Haolin Zou, Arnab Auddy, Yongchan Kwon, Kamiar Rahnama Rad, Arian Maleki
2025	A	`conf`	Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings. AISTATS Haolin Zou, Arnab Auddy, Kamiar Rahnama Rad, Arian Maleki
2024	J	`jnl`	Approximate Leave-One-Out Cross Validation for Regression With ℓ₁ Regularizers. IEEE Trans. Inf. Theory Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki
2024	A	`conf`	Approximate Leave-one-out Cross Validation for Regression with ℓ AISTATS Arnab Auddy, Haolin Zou, Kamiar Rahnama Rad, Arian Maleki
2021	J	`jnl`	Consistent Risk Estimation in Moderately High-Dimensional Linear Regression. IEEE Trans. Inf. Theory Ji Xu, Arian Maleki, Kamiar Rahnama Rad, Daniel Hsu
2020	A	`conf`	Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. AISTATS Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki
2020	J	`jnl`	Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions. CoRR Kamiar Rahnama Rad, Wenda Zhou, Arian Maleki
2019	J	`jnl`	Consistent Risk Estimation in High-Dimensional Linear Regression. CoRR Ji Xu, Arian Maleki, Kamiar Rahnama Rad
2013	J	`jnl`	Reaching Consensus With Increasing Information. IEEE J. Sel. Top. Signal Process. Pooya Molavi, Ali Jadbabaie, Kamiar Rahnama Rad, Alireza Tahbaz-Salehi
2012	C	`conf`	On consensus and exponentially fast social learning. ACC Pooya Molavi, Kamiar Rahnama Rad, Alireza Tahbaz-Salehi, Ali Jadbabaie
2012	Misc	`conf`	Robust particle filters via sequential pairwise reparameterized Gibbs sampling. CISS Liam Paninski, Kamiar Rahnama Rad, Michael Vidne
2011	—	`conf`	Information Rates and Optimal Decoding in Large Neural Populations. NIPS Kamiar Rahnama Rad, Liam Paninski
2011	J	`jnl`	Nearly Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery. IEEE Trans. Inf. Theory Kamiar Rahnama Rad
2010	J	`jnl`	A new look at state-space models for neural data. J. Comput. Neurosci. Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreira, Shinsuke Koyama, Kamiar Rahnama Rad, Michael Vidne, Joshua T. Vogelstein, Wei Wu
2010	—	`conf`	Distributed parameter estimation in networks. CDC Kamiar Rahnama Rad, Alireza Tahbaz-Salehi
2009	J	`jnl`	Mean-Field Approximations for Coupled Populations of Generalized Linear Model Spiking Neurons with Markov Refractoriness. Neural Comput. Taro Toyoizumi, Kamiar Rahnama Rad, Liam Paninski
2009	J	`jnl`	Sharp Sufficient Conditions on Exact Sparsity Pattern Recovery CoRR Kamiar Rahnama Rad
2009	Misc	`conf`	Sharp upper bound on error probability of exact sparsity recovery. CISS Kamiar Rahnama Rad