Stochastic Gradient Descent (SGD) is an out-of-equilibrium algorithm use...
Stochastic Gradient Descent (SGD) is the workhorse algorithm of deep lea...
In this paper we investigate how gradient-based algorithms such as gradi...
When optimizing over loss functions it is common practice to use
momentu...
Despite the widespread use of gradient-based algorithms for optimizing
h...
We analyze in a closed form the learning dynamics of stochastic gradient...
In this work we analyse quantitatively the interplay between the loss
la...
Gradient-descent-based algorithms and their stochastic versions have
wid...
Approximate message passing algorithm enjoyed considerable attention in ...
An algorithmically hard phase was described in a range of inference prob...