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Articles by Anna Ma
Mathematics > Numerical Analysis
Quantile randomized Kaczmarz (QRK) has proven to be an efficient solver for corrupted linear systems and has received much attention. It was recently shown by Cai et al. (SIAM J. Matrix Anal. Appl.
Witnessing Interparental Violence in Childhood and Frailty in Adulthood: Evidence From a National Population-Based Study in China
Keywords Childhood exposure interparental violence Frailty Index life-course perspective population health China Get full text access Log in, subscribe or purchase for full access. References 1. Howlett, S.E. ∙ Rutenberg, A.D. ∙ Rockwood, K. The degree of frailty as a translational measure of health in aging Nat Aging. 2021; 1:651-665 2. Fried, L.P. ∙ Tangen, C.M. ∙ Walston, J. ... Frailty in older adults: evidence for a phenotype J Gerontol A Biol Sci Med Sci. 2001; 56:M146-M156 3. Clegg, A. ∙ Young, J.
[2507.15185] On Subsample Size of Quantile-Based Randomized Kaczmarz
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Reverse Quantile‐RK and Its Application to Quantile‐RK
When solving linear systems , , and are given, but the measurements often contain corruptions. Inspired by recent work on the quantile-randomized Kaczmarz method, we propose an acceleration of the randomized Kaczmarz method in the uncorrupted setting using quantile information. We show that the proposed acceleration converges faster than the randomized Kaczmarz algorithm.
[2505.00258] Quantile-RK and Double Quantile-RK Error Horizon Analysis
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Anàlisi didàctica dels continguts curriculars relacionats amb les plantes a educació primària
Ayuda Buscar en la ayuda Buscar en la ayuda Anàlisi didàctica dels continguts curriculars relacionats amb les plantes a educació primària [1] Escola Nabí (Departament d'Educació - Mestra d'educació primària) Localización: Ciències: revista del professorat de ciències de primària i secundària, ISSN-e 1699-6712, Nº. 49, 2025 (Ejemplar dedicado a: Gener), págs.
[2410.13395] Reverse Quantile-RK and its Application to Quantile-RK
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
[2306.00357] Efficient and Robust Bayesian Selection of Hyperparameters in Dimension Reduction for Visualization
We introduce an efficient and robust auto-tuning framework for hyperparameter selection in dimension reduction (DR) algorithms, focusing on large-scale datasets and arbitrary performance metrics. By leveraging Bayesian optimization (BO) with a surrogate model, our approach enables efficient hyperparameter selection with multi-objective trade-offs and allows us to perform data-driven sensitivity analysis.
Mathematicians Convene at 2023 Southern California Applied Mathematics Symposium
By Manuchehr Aminian, Kristin Kurianski, Anna Ma, and Chris Miles The Southern California Applied Mathematics Symposium (SoCAMS) is a longstanding recurring event that comprises several plenary talks from distinguished speakers and multiple parallel sessions that span various fields of applied mathematics.
Adolescent resilience and mobile phone addiction in Henan Province of China: Impacts of chain mediating, coping style
PLOS ONE, Dec 2022 This is a preview of a remote PDF: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0278182&type=printable Anna Ma, Yan Yang, Shuangxi Guo, Xue Li, Shenhua Zhang, Hongjuan Chang. , PLOS ONE, 2022, Volume 17, Issue 12, DOI: 10.1371/journal.pone.0278182
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