Takip et
Rahnama Rad, Kamiar
Rahnama Rad, Kamiar
Zicklin School of Business, CUNY
baruch.cuny.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A new look at state-space models for neural data
L Paninski, Y Ahmadian, DG Ferreira, S Koyama, K Rahnama Rad, ...
Journal of computational neuroscience 29 (1-2), 107-126, 2010
2662010
A scalable estimate of the out-of-sample prediction error via approximate leave-one-out cross-validation
KR Rad, A Maleki
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020
87*2020
Distributed parameter estimation in networks
K Rahnama Rad, A Tahbaz-Salehi
49th IEEE Conference on Decision and Control (CDC), 5050-5055, 2010
812010
Nearly sharp sufficient conditions on exact sparsity pattern recovery
K Rahnama Rad
IEEE Transactions on Information Theory 57 (7), 4672-4679, 2011
59*2011
Mean-field approximations for coupled populations of generalized linear model spiking neurons with Markov refractoriness
T Toyoizumi, K Rahnama Rad, L Paninski
Neural computation 21 (5), 1203-1243, 2009
552009
Efficient, adaptive estimation of two-dimensional firing rate surfaces via Gaussian process methods
K Rahnama Rad, L Paninski
Network: Computation in Neural Systems 21 (3-4), 142-168, 2010
452010
Reaching consensus with increasing information
P Molavi, A Jadbabaie, K Rahnama Rad, A Tahbaz-Salehi
IEEE Journal of Selected Topics in Signal Processing 7 (2), 358-369, 2013
41*2013
Fast Kalman filtering and forward–backward smoothing via a low-rank perturbative approach
EA Pnevmatikakis, K Rahnama Rad, J Huggins, L Paninski
Journal of Computational and Graphical Statistics 23 (2), 316-339, 2014
362014
Consistent risk estimation in moderately high-dimensional linear regression
J Xu, A Maleki, KR Rad, D Hsu
IEEE Transactions on Information Theory 67 (9), 5997-6030, 2021
35*2021
Error bounds in estimating the out-of-sample prediction error using leave-one-out cross validation in high-dimensions
KR Rad, W Zhou, A Maleki
International Conference on Artificial Intelligence and Statistics, 4067-4077, 2020
272020
Information rates and optimal decoding in large neural populations
K Rahnama Rad, L Paninski
Advances in neural information processing systems, 846-854, 2011
24*2011
Sparse superposition codes for Gaussian vector quantization
I Kontoyiannis, K Rahnama Rad, S Gitzenis
2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo …, 2010
122010
Approximate Leave-one-out Cross Validation for Regression with Regularizers (extended version)
A Auddy, H Zou, KR Rad, A Maleki
arXiv preprint arXiv:2310.17629, 2023
52023
Robust and scalable Bayesian analysis of spatial neural tuning function data
K Rahnama Rad, TA Machado, L Paninski
The Annals of Applied Statistics 11 (2), 598-637, 2017
52017
Robust particle filters via sequential pairwise reparameterized Gibbs sampling
L Paninski, K Rahnama Rad, M Vidne
2012 46th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2012
52012
Approximate Leave-one-out Cross Validation for Regression with Regularizers
A Auddy, H Zou, K Rahnamarad, A Maleki
International Conference on Artificial Intelligence and Statistics, 2377-2385, 2024
32024
“No sufro, estoy bien/I am not suffering, so I am doing OK”: A mixed method exploration of individual and network-level factors and Type 2 Diabetes Mellitus (T2DM) among …
KR Flórez, NS Hwang, M Hernandez, S Verdaguer-Johe, ...
Plos one 19 (1), e0295499, 2024
32024
Iterative detection for V-BLAST MIMO communication systems based on expectation maximisation algorithm
K Rahnama Rad, M Nasiri-Kenari
Electronics Letters 40 (11), 684-685, 2004
32004
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
H Zou, A Auddy, KR Rad, A Maleki
arXiv preprint arXiv:2402.08543, 2024
12024
Consistency of Leave-one-out Cross Validation for Penalized Regression in High Dimensions
H Zou, A Maleki, A Auddy, KR Rad
The 28th International Conference on Artificial Intelligence and Statistics, 0
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Makaleler 1–20