3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 3 cited
Deep Learning with Kernel Flow Regularization for Time Series Forecasting
Mahdy Shirdel, Reza Asadi, Duc Do +1
Long Short-Term Memory (LSTM) neural networks have been widely used for time series forecasting problems. However, LSTMs are prone to overfitting and performance reduction during t…
stat.ME2021
Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi +5
There are essentially three kinds of approaches to Uncertainty Quantification (UQ): (A) robust optimization, (B) Bayesian, (C) decision theory. Although (A) is robust, it is unfavo…