2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Shapley variable importance clouds for interpretable machine learning
Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty +4
Interpretable machine learning has been focusing on explaining final models that optimize performance. The current state-of-the-art is the Shapley additive explanations (SHAP) that…
stat.ML2018
Adversarial Time-to-Event Modeling
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li +4
Modern health data science applications leverage abundant molecular and electronic health data, providing opportunities for machine learning to build statistical models to support…