4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Conformalized Survival Distributions: A Generic Post-Process to Increase Calibration
Shi-ang Qi, Yakun Yu, Russell Greiner
Discrimination and calibration represent two important properties of survival analysis, with the former assessing the model's ability to accurately rank subjects and the latter eva…
cs.IR2023
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models
Yakun Yu, Shi-ang Qi, Jiuding Yang +2
Current recommender systems employ large-sized embedding tables with uniform dimensions for all features, leading to overfitting, high computational cost, and suboptimal generalizi…
cs.LG2023★ 4 cited
An Effective Meaningful Way to Evaluate Survival Models
Shi-ang Qi, Neeraj Kumar, Mahtab Farrokh +5
One straightforward metric to evaluate a survival prediction model is based on the Mean Absolute Error (MAE) -- the average of the absolute difference between the time predicted by…