Search results with tag "Optimization algorithms"
Distributed Optimization and Statistical Learning via the ...
web.stanford.edudecentralized algorithms in the optimization community, it is natural to look to parallel optimization algorithms as a mechanism for solving large-scale statistical tasks. This approach also has the benefit that one algorithm could be flexible enough to solve many problems. This review discusses the alternating direction method of multipli-
Self-Attention Generative Adversarial Networks
proceedings.mlr.pressto represent them, optimization algorithms may have trou- ... known to be unstable and sensitive to the choices of hyper-parameters. Several works have attempted to stabilize the ... layer by a scale parameter and add back the input feature map. Therefore, the final output is given by, y i = o i + x i; (3) where
algorithms - arxiv.org
arxiv.org4 Gradient descent optimization algorithms In the following, we will outline some algorithms that are widely used by the Deep Learning community to deal with the aforementioned challenges. We will not discuss algorithms that are infeasible to compute in practice for high-dimensional data sets, e.g. second-order methods such as Newton’s method7.