In various domains within imaging and data science, particularly when
ad...
Estimating hyperparameters has been a long-standing problem in machine
l...
In distributed learning, a central server trains a model according to up...
Many machine learning solutions are framed as optimization problems whic...
Derivative-free - or zeroth-order - optimization (DFO) has gained recent...
Variational regularization techniques are dominant in the field of
mathe...