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pro vyhledávání: '"Felix Biggs"'
Autor:
Felix Biggs, Benjamin Guedj
Publikováno v:
Entropy, Vol 23, Iss 10, p 1280 (2021)
We make two related contributions motivated by the challenge of training stochastic neural networks, particularly in a PAC–Bayesian setting: (1) we show how averaging over an ensemble of stochastic neural networks enables a new class of partially-a
Externí odkaz:
https://doaj.org/article/b4aab84fd1d340efaf0b0095a2825b7a
Autor:
Biggs, Felix, Guedj, Benjamin
Publikováno v:
AISTATS 2022-25th International Conference on Artificial Intelligence and Statistics
AISTATS 2022-25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain
AISTATS 2022-25th International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain
We give a general recipe for derandomising PAC-Bayesian bounds using margins, with the critical ingredient being that our randomised predictions concentrate around some value. The tools we develop straightforwardly lead to margin bounds for various c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d308243cc594e302493d77d750f4ed63
http://arxiv.org/abs/2107.03955
http://arxiv.org/abs/2107.03955