Katherine Heller
Katherine Heller
Google Research
Verified email at
Cited by
Cited by
Do no harm: a roadmap for responsible machine learning for health care
J Wiens, S Saria, M Sendak, M Ghassemi, VX Liu, F Doshi-Velez, K Jung, ...
Nature medicine 25 (9), 1337-1340, 2019
Underspecification presents challenges for credibility in modern machine learning
A D'Amour, K Heller, D Moldovan, B Adlam, B Alipanahi, A Beutel, ...
Journal of Machine Learning Research 23 (226), 1-61, 2022
Bayesian hierarchical clustering
KA Heller, Z Ghahramani
Proceedings of the 22nd international conference on Machine learning, 297-304, 2005
One class support vector machines for detecting anomalous windows registry accesses
K Heller, K Svore, AD Keromytis, S Stolfo
Modelling reciprocating relationships with Hawkes processes
C Blundell, J Beck, KA Heller
Advances in neural information processing systems 25, 2012
Efficient and scalable bayesian neural nets with rank-1 factors
M Dusenberry, G Jerfel, Y Wen, Y Ma, J Snoek, K Heller, ...
International conference on machine learning, 2782-2792, 2020
Bayesian sets
Z Ghahramani, KA Heller
Advances in neural information processing systems 18, 2005
The IBP compound Dirichlet process and its application to focused topic modeling
S Williamson, C Wang, KA Heller, DM Blei
Proceedings of the 27th international conference on machine learning (ICML …, 2010
Learning to detect sepsis with a multitask Gaussian process RNN classifier
J Futoma, S Hariharan, K Heller
International conference on machine learning, 1174-1182, 2017
A shared vision for machine learning in neuroscience
MAT Vu, T Adalı, D Ba, G Buzsáki, D Carlson, K Heller, C Liston, C Rudin, ...
Journal of Neuroscience 38 (7), 1601-1607, 2018
Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): a …
KM Corey, S Kashyap, E Lorenzi, SA Lagoo-Deenadayalan, K Heller, ...
PLoS medicine 15 (11), e1002701, 2018
Sequence information for the splicing of human pre-mRNA identified by support vector machine classification
XHF Zhang, KA Heller, I Hefter, CS Leslie, LA Chasin
Genome Research 13 (12), 2637-2650, 2003
An improved multi-output gaussian process rnn with real-time validation for early sepsis detection
J Futoma, S Hariharan, K Heller, M Sendak, N Brajer, M Clement, ...
Machine Learning for Healthcare Conference, 243-254, 2017
An insula-frontostriatal network mediates flexible cognitive control by adaptively predicting changing control demands
J Jiang, J Beck, K Heller, T Egner
Nature Communications 6 (1), 8165, 2015
Bayesian exponential family PCA
S Mohamed, Z Ghahramani, KA Heller
Advances in neural information processing systems 21, 2008
Reconciling meta-learning and continual learning with online mixtures of tasks
G Jerfel, E Grant, T Griffiths, KA Heller
Advances in neural information processing systems 32, 2019
Real-world integration of a sepsis deep learning technology into routine clinical care: implementation study
MP Sendak, W Ratliff, D Sarro, E Alderton, J Futoma, M Gao, M Nichols, ...
JMIR medical informatics 8 (7), e15182, 2020
Bayesian and L1 Approaches to Sparse Unsupervised Learning
S Mohamed, K Heller, Z Ghahramani
Analyzing the role of model uncertainty for electronic health records
MW Dusenberry, D Tran, E Choi, J Kemp, J Nixon, G Jerfel, K Heller, ...
Proceedings of the ACM Conference on Health, Inference, and Learning, 204-213, 2020
Bayesian modeling of flexible cognitive control
J Jiang, K Heller, T Egner
Neuroscience & Biobehavioral Reviews 46, 30-43, 2014
The system can't perform the operation now. Try again later.
Articles 1–20