8 citations · 9 across the 3 of their papers we have counts for
4 papers
Targeted Deep Learning: Framework, Methods, and Applications
Shih-Ting Huang, Johannes Lederer
Deep learning systems are typically designed to perform for a wide range of test inputs. For example, deep learning systems in autonomous cars are supposed to deal with traffic sit…
DeepMoM: Robust Deep Learning With Median-of-Means
Shih-Ting Huang, Johannes Lederer
Data used in deep learning is notoriously problematic. For example, data are usually combined from diverse sources, rarely cleaned and vetted thoroughly, and sometimes corrupted on…
Tuning-free ridge estimators for high-dimensional generalized linear models
Shih-Ting Huang, Fang Xie, Johannes Lederer
Ridge estimators regularize the squared Euclidean lengths of parameters. Such estimators are mathematically and computationally attractive but involve tuning parameters that can be…
Tuning parameter calibration for prediction in personalized medicine
Shih-Ting Huang, Yannick Düren, Kristoffer H. Hellton +1
Personalized medicine has become an important part of medicine, for instance predicting individual drug responses based on genomic information. However, many current statistical me…