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Post-hoc loss-calibration for Bayesian neural networks


Jun 13, 2021
Meet P. Vadera, Soumya Ghosh, Kenney Ng, Benjamin M. Marlin

* Accepted to Conference on Uncertainty in AI (UAI) '21 

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Measuring the sensitivity of Gaussian processes to kernel choice


Jun 11, 2021
William T. Stephenson, Soumya Ghosh, Tin D. Nguyen, Mikhail Yurochkin, Sameer K. Deshpande, Tamara Broderick


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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI


Jun 04, 2021
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jiri Navratil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

* Added references 

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Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals


Jun 01, 2021
Jiri Navratil, Benjamin Elder, Matthew Arnold, Soumya Ghosh, Prasanna Sattigeri

* 10 pages main paper, 9 pages appendix 

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EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders


Dec 18, 2020
Siddharth Biswal, Soumya Ghosh, Jon Duke, Bradley Malin, Walter Stewart, Jimeng Sun


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Model Fusion with Kullback--Leibler Divergence


Jul 13, 2020
Sebastian Claici, Mikhail Yurochkin, Soumya Ghosh, Justin Solomon

* ICML 2020 

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Approximate Cross-Validation for Structured Models


Jun 23, 2020
Soumya Ghosh, William T. Stephenson, Tin D. Nguyen, Sameer K. Deshpande, Tamara Broderick

* 22 pages, 7 figures 

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Statistical Model Aggregation via Parameter Matching


Nov 01, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang

* NeurIPS 2019 

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Quality of Uncertainty Quantification for Bayesian Neural Network Inference


Jun 24, 2019
Jiayu Yao, Weiwei Pan, Soumya Ghosh, Finale Doshi-Velez

* Accepted to ICML UDL 2019 

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Bayesian Nonparametric Federated Learning of Neural Networks


May 28, 2019
Mikhail Yurochkin, Mayank Agarwal, Soumya Ghosh, Kristjan Greenewald, Trong Nghia Hoang, Yasaman Khazaeni

* ICML 2019 

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DPVis: Visual Exploration of Disease Progression Pathways


Apr 26, 2019
Bum Chul Kwon, Vibha Anand, Kristen A Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I Frohnert, Markus Lundgren, Kenney Ng


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Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights


Dec 03, 2018
Melanie F. Pradier, Weiwei Pan, Jiayu Yao, Soumya Ghosh, Finale Doshi-velez


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Unsupervised learning with contrastive latent variable models


Nov 14, 2018
Kristen Severson, Soumya Ghosh, Kenney Ng


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Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors


Jul 31, 2018
Soumya Ghosh, Jiayu Yao, Finale Doshi-Velez

* ICML 2018. v2 -- Minor edits and fixes typos. arXiv admin note: text overlap with arXiv:1705.10388 

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Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care


Feb 19, 2018
Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu


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Model Selection in Bayesian Neural Networks via Horseshoe Priors


May 29, 2017
Soumya Ghosh, Finale Doshi-Velez


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