49 citations · 150 across the 15 of their papers we have counts for
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cs.LG2020★ 1 cited
A Backward SDE Method for Uncertainty Quantification in Deep Learning
Richard Archibald, Feng Bao, Yanzhao Cao +1
We develop a probabilistic machine learning method, which formulates a class of stochastic neural networks by a stochastic optimal control problem. An efficient stochastic gradient…
math.NA2020★ 2 cited
Analysis of the Stochastic Alternating Least Squares Method for the Decomposition of Random Tensors
Yanzhao Cao, Somak Das, Luke Oeding +1
Stochastic Alternating Least Squares (SALS) is a method that approximates the canonical decomposition of averages of sampled random tensors. Its simplicity and efficient memory usa…