Chang, Edward

4 publications

ICML 2023 Neural Latent Aligner: Cross-Trial Alignment for Learning Representations of Complex, Naturalistic Neural Data Cheol Jun Cho, Edward Chang, Gopala Anumanchipalli
NeurIPS 2018 REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis Yu-Shao Peng, Kai-Fu Tang, Hsuan-Tien Lin, Edward Chang
NeurIPS 2017 Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction Kristofer Bouchard, Alejandro Bujan, Fred Roosta, Shashanka Ubaru, Mr. Prabhat, Antoine Snijders, Jian-Hua Mao, Edward Chang, Michael W. Mahoney, Sharmodeep Bhattacharya
AISTATS 2012 An Autoregressive Approach to Nonparametric Hierarchical Dependent Modeling Zhihua Zhang, Dakan Wang, Edward Chang