A central problem in machine learning is to learn from data (``big''...
- Optimal Decisions via DRO KNN (NeurIPS 2019, Ruidi Chen)
- Sentence Segmentation Tool (Henghui Zhu)
- Clinical Concept Extraction with Contextual Word Embedding (Henghui Zhu)
- Learning navigation policies from moth data (Henghui Zhu)
- Inverse Variational Inequalities and Price of Anarch (Jing Zhang)
- General Anomaly Detector (Jing Zhang)
- Statitical Anomaly Detector of Internet Traffic (SADIT) (Jing Zhang)