131 citations · 153 across the 6 of their papers we have counts for
4 papers · 1 filter
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data
Yuan Shi, Saied Mahdian, Jose Blanchet +3
Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestio…
Sparse Compositional Metric Learning
Yuan Shi, Aurélien Bellet, Fei Sha
We propose a new approach for metric learning by framing it as learning a sparse combination of locally discriminative metrics that are inexpensive to generate from the training da…
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi, Fei Sha
We study the problem of unsupervised domain adaptation, which aims to adapt classifiers trained on a labeled source domain to an unlabeled target domain. Many existing approaches f…
Learning Discriminative Metrics via Generative Models and Kernel Learning
Yuan Shi, Yung-Kyun Noh, Fei Sha +1
Metrics specifying distances between data points can be learned in a discriminative manner or from generative models. In this paper, we show how to unify generative and discriminat…