51 citations · 112 across the 28 of their papers we have counts for
Showing 2019 · stat.MLShow all
3 papers · 2 filters
stat.ML2019★ 3 cited
Approval policies for modifications to Machine Learning-Based Software as a Medical Device: A study of bio-creep
Jean Feng, Scott Emerson, Noah Simon
Successful deployment of machine learning algorithms in healthcare requires careful assessments of their performance and safety. To date, the FDA approves locked algorithms prior t…
stat.ML2019★ 12 cited
Selective prediction-set models with coverage guarantees
Jean Feng, Arjun Sondhi, Jessica Perry +1
Though black-box predictors are state-of-the-art for many complex tasks, they often fail to properly quantify predictive uncertainty and may provide inappropriate predictions for u…
stat.ML2019
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression
Jean Feng, Noah Simon
In the regression setting, given a set of hyper-parameters, a model-estimation procedure constructs a model from training data. The optimal hyper-parameters that minimize generaliz…