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pro vyhledávání: '"Agrawalla, Bhavya"'
We conduct a comprehensive investigation into the dynamics of gradient descent using large-order constant step-sizes in the context of quadratic regression models. Within this framework, we reveal that the dynamics can be encapsulated by a specific c
Externí odkaz:
http://arxiv.org/abs/2310.01687
Imaging systems consist of cameras to encode visual information about the world and perception models to interpret this encoding. Cameras contain (1) illumination sources, (2) optical elements, and (3) sensors, while perception models use (4) algorit
Externí odkaz:
http://arxiv.org/abs/2309.13851
Stochastic gradient descent (SGD) has emerged as the quintessential method in a data scientist's toolbox. Using SGD for high-stakes applications requires, however, careful quantification of the associated uncertainty. Towards that end, in this work,
Externí odkaz:
http://arxiv.org/abs/2302.09727
Publikováno v:
Semigroup Forum 108 (2024) 275--299
We observe that Beck modules for a commutative monoid are exactly modules over a graded commutative ring associated to the monoid. Under this identification, the Quillen cohomology of commutative monoids is a special case of Andr\'e-Quillen cohomolog
Externí odkaz:
http://arxiv.org/abs/2211.01536
Akademický článek
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Stochastic gradient descent (SGD) has emerged as the quintessential method in a data scientist's toolbox. Much progress has been made in the last two decades toward understanding the iteration complexity of SGD (in expectation and high-probability) i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2c4afc65205517b68fbbf54f1443c6a
http://arxiv.org/abs/2302.09727
http://arxiv.org/abs/2302.09727
We observe that Beck modules for a commutative monoid are exactly modules over a graded commutative ring associated to the monoid. Under this identification, the Quillen cohomology of commutative monoids is a special case of Andre-Quillen cohomology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97db47880f36f2d5adf41f51ba3aaa49