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Investigating Variance Definitions for Mirror Descent with Relative Smoothness
H Hendrikx - ar** new methods. Beyond the obvious computational cost due to the …
Investigating Variance Definitions for Stochastic Mirror Descent with Relative Smoothness
H Hendrikx - 2024 - openreview.net
Mirror Descent is a popular algorithm, that extends Gradients Descent (GD) beyond the
Euclidean geometry. One of its benefits is to enable strong convergence guarantees through …
Euclidean geometry. One of its benefits is to enable strong convergence guarantees through …
Optimization tools for non-asymptotic statistics in exponential families
R Le Priol - 2022 - papyrus.bib.umontreal.ca
Exponential families are a ubiquitous class of models in statistics. On the one hand, they can
model any data type. Actually, the most common distributions are exponential families …
model any data type. Actually, the most common distributions are exponential families …