A Robust-Equitable Copula Dependence Measure for Feature Selection. - Yale Chang; Yi Li; A. Adam Ding; Jennifer G. Dy (AISTATS, 2016)

Interpretable Clustering via Discriminative Rectangle Mixture Model. - Junxiang Chen; Yale Chang; Brian D. Hobbs; Peter J. Castaldi; Michael H. Cho; Edwin K. Silverman; Jennifer G. Dy (ICDM, 2016)

Informative Subspace Learning for Counterfactual Inference. - Yale Chang; Jennifer G. Dy (AAAI, 2017)

Clustering from Multiple Uncertain Experts. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (AISTATS, 2017)

Multiple Clustering Views from Multiple Uncertain Experts. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (ICML, 2017)

Clustering with Domain-Specific Usefulness Scores. - Yale Chang; Junxiang Chen; Michael H. Cho; Peter J. Castaldi; Edwin K. Silverman; Jennifer G. Dy (SDM, 2017)

A Robust-Equitable Measure for Feature Ranking and Selection. - A. Adam Ding; Jennifer G. Dy; Yi Li; Yale Chang (J. Mach. Learn. Res., 2017)

A Bayesian Nonparametric Model for Disease Subtyping: Application to Emphysema Phenotypes. - James C. Ross; Peter J. Castaldi; Michael H. Cho; Junxiang Chen; Yale Chang; Jennifer G. Dy; Edwin K. Silverman; George R. Washko; Raúl San José Estépar (IEEE Trans. Medical Imaging, 2017)

Crowdclustering with Partition Labels. - Junxiang Chen; Yale Chang; Peter J. Castaldi; Michael H. Cho; Brian D. Hobbs; Jennifer G. Dy (AISTATS, 2018)

A Multi-Task Imputation and Classification Neural Architecture for Early Prediction of Sepsis from Multivariate Clinical Time Series. - Yale Chang; Jonathan Rubin; Gregory Boverman; Shruti Vij; Asif Rahman; Annamalai Natarajan; Saman Parvaneh (CinC, 2019)

Solving Interpretable Kernel Dimensionality Reduction. - Chieh Wu; Jared Miller; Yale Chang; Mario Sznaier; Jennifer G. Dy (NeurIPS, 2019)

Deep Kernel Learning for Clustering. - Chieh Wu; Zulqarnain Khan; Yale Chang; Stratis Ioannidis; Jennifer G. Dy (CoRR, 2019)

Solving Interpretable Kernel Dimension Reduction. - Chieh Wu; Jared Miller; Yale Chang; Mario Sznaier; Jennifer G. Dy (CoRR, 2019)

Spectral Non-Convex Optimization for Dimension Reduction with Hilbert-Schmidt Independence Criterion. - Chieh Wu; Jared Miller; Yale Chang; Mario Sznaier; Jennifer G. Dy (CoRR, 2019)

A Wide and Deep Transformer Neural Network for 12-Lead ECG Classification. - Annamalai Natarajan; Yale Chang; Sara Mariani; Asif Rahman; Gregory Boverman; Shruti Vij; Jonathan Rubin (CinC, 2020)

Shapelet Discovery for Atrial Fibrillation Detection. - Saman Parvaneh; Yale Chang (CinC, 2020)

Phenotyping with Prior Knowledge using Patient Similarity. - Asif Rahman; Yale Chang; Bryan Conroy; Minnan Xu-Wilson (MLHC, 2020)

Convolution-Free Waveform Transformers for Multi-Lead ECG Classification. - Annamalai Natarajan; Gregory Boverman; Yale Chang; Corneliu Antonescu; Jonathan Rubin (CinC, 2021)

Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series. - Asif Rahman; Yale Chang; Jonathan Rubin (CoRR, 2021)

Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome. - Emma H. Schwager; Katharina Jansson; Asif Rahman; S. Schiffer; Yale Chang; Gregory Boverman; Brian Gross; Minnan Xu-Wilson; P. Boehme; Hubert Truebel; Joseph J. Frassica (npj Digit. Medicine, 2021)

Multi-Task Prediction of Murmur and Outcome from Heart Sound Recordings. - Yale Chang; Luoluo Liu; Corneliu Antonescu (CinC, 2022)