scholarly journals Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices

2020 ◽  
Author(s):  
Foroozan Karimzadeh ◽  
Ningyuan Cao ◽  
Brian Crafton ◽  
Justin Romberg ◽  
Arijit Raychowdhury
Keyword(s):  
Random Indices

From the central limit theorem to heavy-tailed distributions

2003 ◽  
Vol 40 (3) ◽  
pp. 803-806 ◽  
Author(s):  
Jinwen Chen
Keyword(s):  
Central Limit Theorem ◽  
Limit Theorem ◽  
Central Limit ◽  
Power Law ◽  
Power Law Distribution ◽  
The Central Limit Theorem ◽  
Heavy Tailed Distributions ◽  
Heavy Tailed ◽  
Random Indices ◽  
Power Law Distributions

It has been observed that in many practical situations randomly stopped products of random variables have power law distributions. In this note we show that, in order for such a product to have a power law distribution, the only random indices are the exponentially distributed ones. We also consider a more general problem, which is closely related to problems concerning transformation from the central limit theorem to heavy-tailed distributions.

scholarly journals Weak convergence with random indices

1977 ◽  
Vol 5 (3) ◽  
pp. 213-220 ◽  
Author(s):  
Richard T. Durrett ◽  
Sidney I. Resnick
Keyword(s):  
Weak Convergence ◽  
Random Indices

Generalized-order statistics with random indices

2017 ◽  
Vol 47 (12) ◽  
pp. 2859-2868
Author(s):  
H. M. Barakat ◽  
M. A. Abd Elgawad ◽  
Ting Yan
Keyword(s):  
Order Statistics ◽  
Generalized Order Statistics ◽  
Random Indices ◽  
Generalized Order
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