Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory-Reference-Cited by-同舟云学术

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Worst-Case Convergence Time of ML Algorithms via Extreme Value Theory

Published:2024-04-14 Issue: Volume: Page:211-221
ISSN:
Container-title:Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI
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Author:

Tizpaz-Niari Saeid¹^ORCID,Sankaranarayanan Sriram²^ORCID

Affiliation:

1. University of Texas at El Paso, El Paso, Texas, USA

2. University of Colorado - Boulder, Boulder, Colorado, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644815.3644989

Reference45 articles.

1. Ahmed, H.: Extreme value theory in a nutshell with various applications (2021), https://towardsdatascience.com/extreme-value-theory-in-a-nutshell-with-various-applications-3260b6a84316

2. Amodei, D., Hernandez., D.: Ai and compute (2018), https://openai.com/research/ai-and-compute

3. EVT-based worst case delay estimation under process variation

4. Apogee-Research: Snapbuddy application (2016), https://github.com/Apogee-Research/STAC/tree/master/Engagement_Challenges/Engagement_2/snapbuddy_1

5. Cazorla, F.J., Vardanega, T., Quiñones, E., Abella, J.: Upper-bounding program execution time with extreme value theory. In: 13th International Workshop on Worst-Case Execution Time Analysis. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik (2013)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Urban Microclimate Dynamics: A Multivariate Copula Analysis Utilizing Extreme Value Theory;2024-05-23

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