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Discover Ludwig"convergence rate" is a correct and usable phrase in written English.
It refers to the speed at which two values or functions approach one another as they move along a certain trajectory. For example, you could say, "The convergence rate of the two lines on the graph indicates that the two values will eventually meet."
Exact(60)
Asymptotic performance versus convergence rate.
On the Convergence Rate of Good-Turing Estimators.
(Figure) Constant convergence rate on a toy non-convex objective.
(Figure) Constant convergence rate when training a real model (LSTM).
Convergence rate and asymptotic distribution are obtained.
The convergence rate can also be estimated.
The convergence rate of this procedure matches the well-known convergence rate of gradient descent to first-order stationary points, up to log factors.
– Non-strongly-convex smooth stochastic approximation with convergence rate by Francis Bach and Eric Moulines.
Even with the latter approximations, the proposed BIGQUIC algorithm can achieve a quadratic convergence rate.
Multivariate Density Estimation Based on Adaptive Partitioning: Convergence Rate, Variable Selection and Spatial Adaptation.
Moreover, the guaranteed exponential convergence rate can be correctly estimated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com