Selected Recent Publications

* Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
Soumya Ghosh, Jiayu Yao, and Finale Doshi-Velez
ICML 2018.
Poster Slides
* Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-task Survival Analysis Approach
Bin Liu, Ying Li, Zhaonan Sun, Soumya Ghosh, and Kenney Ng
AAAI 2018.
* Model Selection in Bayesian Neural Networks via Horseshoe Priors
Soumya Ghosh and Finale Doshi-Velez
NIPS 2017, Workshop on Bayesian Deep Learning
ArXiv version
Poster Slides
* Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Scarloff, and Hanspeter Pfister
CVPR 2017.
Hierarchical Bayesian Neural Networks for Personalized Classification
Ajjen Joshi, Soumya Ghosh, Margrit Betke, and Hanspeter Pfister
NIPS 2016. Workshop on Bayesian Deep Learning.
Poster Spotlight
* An Exploration of Latent Structure in Observational Huntington’s Disease Studies
Soumya Ghosh, Zhaonan Sun, Ying Li, Yu Cheng, Amrita Mohan, Cristina Sampaio, and Jianying Hu
AMIA CRI 2017.
* Assumed Density Filtering Methods for Learning Bayesian Neural Networks
Soumya Ghosh, Francesco DelleFave, and Jonathan Yedidia
AAAI 2016.
* Approximate Bayesian Computation for Distance-Dependent Learning
Soumya Ghosh and Erik Sudderth
NIPS 2015. Workshop on Bayesian Nonparametrics: The Next Generation.
* Nonparametric Clustering with Distance Dependent Hierarchies
Soumya Ghosh, Michalis Raptis, Leonid Sigal, and Erik Sudderth
UAI 2014.
Supplement Spotlight
* From Deformations to Parts:Motion-based Segmentation of 3D Objects
Soumya Ghosh, Erik Sudderth, Mathew Loper, and Michael Black
NIPS 2012.
Supplement Code
* Nonparametric Learning for Layered Segmentation of Natural Images
Soumya Ghosh and Erik Sudderth
CVPR 2012.
* Spatial distance dependent Chinese restaurant processes for image segmentation
Soumya Ghosh, Andrei Ungureanu, Erik Sudderth, and David Blei
NIPS 2011.