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Asgharian, Masoud
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1

Accelerated gradient methods for sparse statistical learnin..:

Yang, Kai ; Asgharian, Masoud ; Bhatnagar, Sahir
Statistics and Computing.  34 (2024)  1 - p. , 2024
Link: https://doi.org/10.1007/..
 
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2

Statistical Hardware Design With Multimodel Active Learning:

Ghaffari, Alireza ; Asgharian, Masoud ; Savaria, Yvon
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.  43 (2024)  2 - p. 562-572 , 2024
Link: https://doi.org/10.1109/..
 
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3

Peer-evaluation in centrally managed systems:

Ghandi, Fatemeh ; Davtalab-Olyaie, Mostafa ; Asgharian, Masoud
Annals of Operations Research.  333 (2024)  1 - p. 439-459 , 2024
Link: https://doi.org/10.1007/..
 
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4

Assessing Influential Observations in Pain Prediction using..:

Zhang, Dongliang ; Asgharian, Masoud ; Lindquist, Martin A
http://arxiv.org/abs/2401.13208.  , 2024
Link: http://arxiv.org/abs/240..
 
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5

Sparse Estimation in Semiparametric Finite Mixture of Varyi..:

Khalili, Abbas ; Shokoohi, Farhad ; Asgharian, Masoud.
Biometrics.  79 (2023)  4 - p. 3445-3457 , 2023
Link: https://doi.org/10.1111/..
 
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6

Training Integer-Only Deep Recurrent Neural Networks:

Nia, Vahid Partovi ; Sari, Eyyüb ; Courville, Vanessa.
SN Computer Science.  4 (2023)  5 - p. , 2023
Link: https://doi.org/10.1007/..
 
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7

EuclidNets: An Alternative Operation for Efficient Inferenc..:

Li, Xinlin ; Parazeres, Mariana ; Oberman, Adam...
SN Computer Science.  4 (2023)  5 - p. , 2023
Link: https://doi.org/10.1007/..
 
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8

Statistical Hardware Design With Multi-model Active Learnin:

Ghaffari, Alireza ; Asgharian, Masoud ; Savaria, Yvon
http://arxiv.org/abs/2303.08054.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Mitigating Outlier Activations in Low-Precision Fine-Tuning..:

Ghaffari, Alireza ; Yu, Justin ; Nejad, Mahsa Ghazvini...
http://arxiv.org/abs/2312.09211.  , 2023
Link: http://arxiv.org/abs/231..
 
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10

Uniform confidence bands for hazard functions from censored..:

Shariati, Ali ; Doosti, Hassan ; Fakoor, Vahid.
Shariati , A , Doosti , H , Fakoor , V & Asgharian , M 2023 , ' Uniform confidence bands for hazard functions from censored prevalent cohort survival data ' , Electronic Journal of Statistics , vol. 17 , no. 2 , pp. 1807-1847 . https://doi.org/10.1214/23-EJS2133.  , 2023
Link: https://researchers.mq.e..
 
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11

On the convergence of stochastic gradient descent in low-pr..:

Cacciola, Matteo ; Frangioni, Antonio ; Asgharian, Masoud..
https://publications.polymtl.ca/54349/1/2023_Cacciola_Convergence_Stochastic_Gradient_Descent_Low-Precision.pdf.  , 2023
Link: https://publications.pol..
 
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12

On the Convergence of Stochastic Gradient Descent in Low-pr..:

Cacciola, Matteo ; Frangioni, Antonio ; Asgharian, Masoud..
http://arxiv.org/abs/2301.01651.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Mathematical Challenges in Deep Learning:

Nia, Vahid Partovi ; Zhang, Guojun ; Kobyzev, Ivan...
http://arxiv.org/abs/2303.15464.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

A nonparametric test for equality of survival medians using..:

McVittie, James Hugh ; Asgharian, Masoud
Statistical Methods in Medical Research.  31 (2022)  12 - p. 2431-2441 , 2022
Link: https://doi.org/10.1177/..
 
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15

Potential health benefits of eliminating traffic emissions ..:

Heydari, Shahram ; Asgharian, Masoud ; Kelly, Frank J...
PLOS ONE.  17 (2022)  3 - p. e0264803 , 2022
Link: https://doi.org/10.1371/..
 
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