Zobrazeno 1 - 10
of 3 312
pro vyhledávání: '"A, Martínez Rubio"'
Autor:
José M.ª Martí Sánchez
Publikováno v:
Estudios Eclesiásticos, Vol 98, Iss 387, Pp 945-949 (2023)
Externí odkaz:
https://doaj.org/article/8233c74b9ee04a6fb520828fbb097a30
We study first-order algorithms that are uniformly stable for empirical risk minimization (ERM) problems that are convex and smooth with respect to $p$-norms, $p \geq 1$. We propose a black-box reduction method that, by employing properties of unifor
Externí odkaz:
http://arxiv.org/abs/2412.15956
We develop algorithms for the optimization of convex objectives that have H\"older continuous $q$-th derivatives with respect to a $p$-norm by using a $q$-th order oracle, for $p, q \geq 1$. We can also optimize other structured functions. We do this
Externí odkaz:
http://arxiv.org/abs/2411.08987
Autor:
Raúl Molina Gil
Publikováno v:
Caracteres: Estudios Culturales y Críticos de la Esfera Digital, Vol 4, Iss 1, Pp 128-135 (2015)
Reseña del libro El futuro era esto. Crisis y rematerialización de la modernidad, de José Martínez Rubio.
Externí odkaz:
https://doaj.org/article/203e380a1a3a45af9e2e190c5e66de96
In this work, we analyze two of the most fundamental algorithms in geodesically convex optimization: Riemannian gradient descent and (possibly inexact) Riemannian proximal point. We quantify their rates of convergence and produce different variants w
Externí odkaz:
http://arxiv.org/abs/2403.10429
Autor:
Serrano, Sergio, Barrio, Roberto, Martínez-Rubio, Álvaro, Belmonte-Beitia, Juan, Pérez-García, Víctor M.
Chimeric Antigen Receptor T (CAR-T) cell therapy has been proven to be successful against different leukaemias and lymphomas. This paper makes an analytical and numerical study of a mathematical model describing the competition of CAR-T, leukaemias t
Externí odkaz:
http://arxiv.org/abs/2403.00340
Akademický článek
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Autor:
Scieur, Damien, Martínez-Rubio, David, Kerdreux, Thomas, d'Aspremont, Alexandre, Pokutta, Sebastian
Curvature properties of convex objects, such as strong convexity, are important in designing and analyzing convex optimization algorithms in the Hilbertian or Riemannian settings. In the case of the Hilbertian setting, strongly convex sets are well s
Externí odkaz:
http://arxiv.org/abs/2312.03583
Autor:
Gabriele Gelmini
Publikováno v:
Altre Modernità, Vol 0, Iss 18, Pp 180-182 (2017)
José Martínez Rubio, Las formas de la verdad. Investigación, docuficción y memoria en la novela hispánica (Barcelona, Anthropos, 334 pp., ISBN 9788416421152) di Gabriele Gelmini
Externí odkaz:
https://doaj.org/article/a9f50b3e8df746ddb116c801d0d2f2a7
Autor:
Martínez Rubio, Karen1 karen.kr26@gmail.com, Vargas Martínez, Elva Esther1 eevargasm@uaemex.mx, Delgado Cruz, Alejandro1 adelgadoc@uaemex.mx
Publikováno v:
RAE: Revista de Administração de Empresas. Mar/Apr2024, Vol. 64 Issue 2, p1-26. 26p.