| 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 | 838 | 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 | 828 | 2022 |
| Bayesian hierarchical clustering KA Heller, Z Ghahramani Proceedings of the 22nd international conference on Machine learning, 297-304, 2005 | 484 | 2005 |
| One class support vector machines for detecting anomalous windows registry accesses KA Heller, KM Svore, AD Keromytis, SJ Stolfo Proc. of the workshop on Data Mining for Computer Security 9, 56, 2003 | 268 | 2003 |
| Modelling reciprocating relationships with Hawkes processes C Blundell, J Beck, KA Heller Advances in neural information processing systems 25, 2012 | 256 | 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 | 247 | 2020 |
| 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 | 222 | 2018 |
| 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 | 220 | 2017 |
| 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 | 208 | 2010 |
| Bayesian sets Z Ghahramani, KA Heller Advances in neural information processing systems 18, 2005 | 204 | 2005 |
| 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 | 196 | 2018 |
| 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 | 180 | 2017 |
| 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 | 176 | 2003 |
| 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 | 174 | 2015 |
| 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 | 144 | 2020 |
| 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 | 135 | 2019 |
| Bayesian exponential family PCA S Mohamed, Z Ghahramani, KA Heller Advances in neural information processing systems 21, 2008 | 130 | 2008 |
| 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 | 117 | 2020 |
| Bayesian and L1 Approaches to Sparse Unsupervised Learning S Mohamed, K Heller, Z Ghahramani | 116 | 2011 |
| Bayesian modeling of flexible cognitive control J Jiang, K Heller, T Egner Neuroscience & Biobehavioral Reviews 46, 30-43, 2014 | 114 | 2014 |
