Zobrazeno 1 - 10
of 25 765
pro vyhledávání: '"Mokhtari, A"'
Autor:
Rahmani, Zahra, Rakhshani, Ehsan, Lotfalizdaeh, Hossein, Mokhtari, Azizollah, Mitroiu, Mircea-Dan
Publikováno v:
Opuscula Zoologica Instituti Zoosystematici et Oecologici Universitatis Budapestinensis, Vol 52, Iss 2, Pp 183-197 (2021)
A faunistic survey on the parasitic wasps of the subfamily Pteromalinae Dalman, 1820 (Hym., Chalcidoidea, Pteromalidae) of South-Eastern Iran (Kerman province) was done. In total 46 specimens representing 10 genera and 16 species are identified, amon
Externí odkaz:
https://doaj.org/article/1d3fdeffa5c043f08389333b8265a618
Electrical networks contain thousands of interconnected nodes and edges, which leads to computational challenges in some power system studies. To address these challenges, we contend that network reductions can serve as a framework to enable scalable
Externí odkaz:
http://arxiv.org/abs/2407.02679
Adaptive gradient methods are arguably the most successful optimization algorithms for neural network training. While it is well-known that adaptive gradient methods can achieve better dimensional dependence than stochastic gradient descent (SGD) und
Externí odkaz:
http://arxiv.org/abs/2406.04592
We propose adaptive, line search-free second-order methods with optimal rate of convergence for solving convex-concave min-max problems. By means of an adaptive step size, our algorithms feature a simple update rule that requires solving only one lin
Externí odkaz:
http://arxiv.org/abs/2406.02016
Stochastic second-order methods achieve fast local convergence in strongly convex optimization by using noisy Hessian estimates to precondition the gradient. However, these methods typically reach superlinear convergence only when the stochastic Hess
Externí odkaz:
http://arxiv.org/abs/2406.01478
Autor:
El Abd Bouha, Mohamed, Ouali, Houssa, Ouabid, Muhammad, El Messbahi, Hicham, Mokhtari, Abdelkader
Publikováno v:
Comptes Rendus. Géoscience, Vol 353, Iss 1, Pp 19-35 (2021)
The Mauritanian Tasiast unit in the Southwestern Reguibat Archean Shield (North of the West African craton $=$ WAC) consists mainly of gneiss dated between 3.07 and 2.91 Ga. We present new field and petrographic observations combined with whole-rock
Externí odkaz:
https://doaj.org/article/5f2e17b8764b41399787048bb5a2aa97
In this paper, we establish the first explicit and non-asymptotic global convergence analysis of the BFGS method when deployed with an inexact line search scheme that satisfies the Armijo-Wolfe conditions. We show that BFGS achieves a global converge
Externí odkaz:
http://arxiv.org/abs/2404.16731
In this paper, we explore the non-asymptotic global convergence rates of the Broyden-Fletcher-Goldfarb-Shanno (BFGS) method implemented with exact line search. Notably, due to Dixon's equivalence result, our findings are also applicable to other quas
Externí odkaz:
http://arxiv.org/abs/2404.01267
A striking property of transformers is their ability to perform in-context learning (ICL), a machine learning framework in which the learner is presented with a novel context during inference implicitly through some data, and tasked with making a pre
Externí odkaz:
http://arxiv.org/abs/2402.11639
In this paper, we focus on simple bilevel optimization problems, where we minimize a convex smooth objective function over the optimal solution set of another convex smooth constrained optimization problem. We present a novel bilevel optimization met
Externí odkaz:
http://arxiv.org/abs/2402.08097