Search Results for author: Kenney Ng

Found 7 papers, 1 papers with code

Post-hoc loss-calibration for Bayesian neural networks

no code implementations13 Jun 2021 Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

Bayesian decision theory provides an elegant framework for acting optimally under uncertainty when tractable posterior distributions are available.

Decision Making

Modeling Disease Progression Trajectories from Longitudinal Observational Data

no code implementations9 Dec 2020 Bum Chul Kwon, Peter Achenbach, Jessica L. Dunne, William Hagopian, Markus Lundgren, Kenney Ng, Riitta Veijola, Brigitte I. Frohnert, Vibha Anand, the T1DI Study Group

We learn disease progression patterns using Hidden Markov Models (HMM) and distill them into distinct trajectories using visualization methods.

Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning

no code implementations24 Jul 2020 Yiqin Yu, Xu Min, Shiwan Zhao, Jing Mei, Fei Wang, Dongsheng Li, Kenney Ng, Shaochun Li

In real world applications like healthcare, it is usually difficult to build a machine learning prediction model that works universally well across different institutions.

Knowledge Distillation Transfer Learning

DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways

no code implementations26 Apr 2019 Bum Chul Kwon, Vibha Anand, Kristen A Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng

Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records.

Unsupervised learning with contrastive latent variable models

1 code implementation14 Nov 2018 Kristen Severson, Soumya Ghosh, Kenney Ng

Here, we present a probabilistic model for dimensionality reduction to discover signal that is enriched in the target dataset relative to the background dataset.

Dimensionality Reduction feature selection

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care

no code implementations19 Feb 2018 Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

The proposed method is favorable for healthcare applications because in additional to improved prediction performance, relationships among the different risks and risk factors are also identified.

Multi-Task Learning

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