2 papers
cs.AI2026
Learning Preference-Based Objectives from Clinical Narratives for Dynamic Sepsis Treatment
Daniel J. Tan, Jayne Hui Zhen Chan, Kai Wen Hwang +3
Designing reward functions for reinforcement learning (RL) in healthcare remains challenging because clinically meaningful outcomes are sparse, delayed, and difficult to explicitly…
cs.LG2024
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation
Wei Dai, Kai Hwang, Jicong Fan
Unsupervised anomaly detection (UAD) plays an important role in modern data analytics and it is crucial to provide simple yet effective and guaranteed UAD algorithms for real appli…