Zobrazeno 1 - 10
of 25 102
pro vyhledávání: '"A. Acerbi"'
Autor:
Roskovec, Tomáš G., Soudský, Filip
The weak lower semicontinuity of the functional $$ F(u)=\int_{\Omega}f(x,u,\nabla u)\, dx$$ is a classical topic that was studied thoroughly. It was shown that if the function $f$ is continuous and convex in the last variable, the functional is seque
Externí odkaz:
http://arxiv.org/abs/2302.03489
Autor:
UYSAL, İbrahim1 uysalibrahim@comu.edu.tr, SİNAV, Lider2 lidersnv@gmail.com, AŞIKOĞLU, Yakut Can3 yakutcanasikoglu@gmail.com, ARSLAN, Şafak4 safak.arslan@dogadernegi.org
Publikováno v:
Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. Apr2022, Vol. 26 Issue 2, p365-374. 10p.
Many critical decisions, such as personalized medical diagnoses and product pricing, are made based on insights gained from designing, observing, and analyzing a series of experiments. This highlights the crucial role of experimental design, which go
Externí odkaz:
http://arxiv.org/abs/2411.02064
Amortized meta-learning methods based on pre-training have propelled fields like natural language processing and vision. Transformer-based neural processes and their variants are leading models for probabilistic meta-learning with a tractable objecti
Externí odkaz:
http://arxiv.org/abs/2410.15320
Eliciting a high-dimensional probability distribution from an expert via noisy judgments is notoriously challenging, yet useful for many applications, such as prior elicitation and reward modeling. We introduce a method for eliciting the expert's bel
Externí odkaz:
http://arxiv.org/abs/2410.08710
Autor:
Schmitt, Marvin, Li, Chengkun, Vehtari, Aki, Acerbi, Luigi, Bürkner, Paul-Christian, Radev, Stefan T.
Bayesian inference often faces a trade-off between computational speed and sampling accuracy. We propose an adaptive workflow that integrates rapid amortized inference with gold-standard MCMC techniques to achieve both speed and accuracy when perform
Externí odkaz:
http://arxiv.org/abs/2409.04332
Autor:
Simone Marsi
Publikováno v:
Between, Vol 12, Iss 23 (2022)
Recensione del volume Alberto Acerbi Cultural Evolution in the Digital Age.
Externí odkaz:
https://doaj.org/article/4844a269a25c4173a0c8f4dfc407fa6b
Autor:
SCARAMUZZA, EMILIO
Publikováno v:
Nuova Rivista Storica; gen-apr2022, Vol. 106 Issue 1, p287-301, 15p
Akademický článek
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Publikováno v:
Il Foro Italiano, 2015 Mar 01. 138(3), 1077/1078-1093/1094.
Externí odkaz:
https://www.jstor.org/stable/44873885