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Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling

Overview of attention for article published in Proceedings of the AAAI Conference on Artificial Intelligence, June 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Readers on

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11 Mendeley
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Article details
Title
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
Published in
Proceedings of the AAAI Conference on Artificial Intelligence, June 2022
DOI 10.1609/aaai.v36i7.20701
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 2 18%
Lecturer 1 9%
Student > Doctoral Student 1 9%
Student > Bachelor 1 9%
Student > Ph. D. Student 1 9%
Other 2 18%
Unknown 3 27%
Readers by discipline
Readers by discipline Count As %
Economics, Econometrics and Finance 4 36%
Computer Science 3 27%
Engineering 1 9%
Unknown 3 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 August 2021.
All research outputs
#19,160,157
of 27,790,740 outputs
Outputs from Proceedings of the AAAI Conference on Artificial Intelligence
#401,729
of 1,092,906 outputs
Outputs of similar age
#268,350
of 449,191 outputs
Outputs of similar age from Proceedings of the AAAI Conference on Artificial Intelligence
#12,231
of 27,963 outputs
Altmetric has tracked 27,790,740 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,092,906 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 449,191 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,963 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.