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Deep Cox Mixtures for Survival Regression

Jan 16, 2021
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

* NeurIPS Machine Learning for Health Workshop (ML4H) 2020 

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Underspecification Presents Challenges for Credibility in Modern Machine Learning

Nov 06, 2020
Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley

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Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

May 14, 2020
Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-an Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran

* Code available at 

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Federated and Differentially Private Learning for Electronic Health Records

Nov 13, 2019
Stephen R. Pfohl, Andrew M. Dai, Katherine Heller

* Machine Learning for Health (ML4H) at NeurIPS 2019 - Extended Abstract 

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Analyzing the Role of Model Uncertainty for Electronic Health Records

Jun 10, 2019
Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine Heller, Andrew M. Dai

* Presented at the ICML 2019 Workshop on Uncertainty & Robustness in Deep Learning. Code to be open-sourced 

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Online gradient-based mixtures for transfer modulation in meta-learning

Dec 17, 2018
Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine Heller

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InverseNet: Solving Inverse Problems with Splitting Networks

Dec 01, 2017
Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine Heller

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An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection

Aug 19, 2017
Joseph Futoma, Sanjay Hariharan, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien, Katherine Heller

* Presented at Machine Learning for Healthcare 2017, Boston, MA 

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Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

Jun 13, 2017
Joseph Futoma, Sanjay Hariharan, Katherine Heller

* Presented at 34th International Conference on Machine Learning (ICML 2017), Sydney, Australia 

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Fast Second-Order Stochastic Backpropagation for Variational Inference

Mar 28, 2017
Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine Heller

* Accepted by NIPS 2015 

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Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression

Aug 16, 2016
Joseph Futoma, Mark Sendak, C. Blake Cameron, Katherine Heller

* Presented at 2016 Machine Learning and Healthcare Conference (MLHC 2016), Los Angeles, CA 

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$k$-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking

Nov 13, 2015
Kai Fan, Katherine Heller

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The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation

Jan 27, 2015
Fangjian Guo, Charles Blundell, Hanna Wallach, Katherine Heller

* 14 pages, 7 figures, to appear in AISTATS 2015. Fixed minor formatting issues 

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Ranking relations using analogies in biological and information networks

Aug 29, 2013
Ricardo Silva, Katherine Heller, Zoubin Ghahramani, Edoardo M. Airoldi

* Annals of Applied Statistics 2010, Vol. 4, No. 2, 615-644 
* Published in at the Annals of Applied Statistics ( by the Institute of Mathematical Statistics (

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Bayesian and L1 Approaches to Sparse Unsupervised Learning

Aug 17, 2012
Shakir Mohamed, Katherine Heller, Zoubin Ghahramani

* In Proceedings of the 29th International Conference on Machine Learning (ICML), Edinburgh, Scotland, 2012 

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