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ORCIDKatherine A. Heller
Person information
- affiliation: Duke University, Department of Statistical Science, Durham, NC, USA
- affiliation: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
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2020 – today
- 2021
[i14]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. CoRR abs/2101.06536 (2021)- 2020
- [c37]Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai:
Analyzing the role of model uncertainty for electronic health records. CHIL 2020: 204-213 - [c36]Michael Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran:
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. ICML 2020: 2782-2792 - [i13]Michael W. Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran:
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. CoRR abs/2005.07186 (2020) - [i12]Alexander D'Amour, Katherine A. 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, Yi-An 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:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020)
2010 – 2019
- 2019
- [c35]Qi Wei, Kai Fan
, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren:
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME 2019: 1324-1329 - [c34]Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller:
Reconciling meta-learning and continual learning with online mixtures of tasks. NeurIPS 2019: 9119-9130 - [i11]Michael W. Dusenberry, Dustin Tran, Edward Choi, Jonas Kemp, Jeremy Nixon, Ghassen Jerfel, Katherine A. Heller, Andrew M. Dai:
Analyzing the Role of Model Uncertainty for Electronic Health Records. CoRR abs/1906.03842 (2019) - [i10]Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller:
Federated and Differentially Private Learning for Electronic Health Records. CoRR abs/1911.05861 (2019) - 2018
- [i9]Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine A. Heller:
Online gradient-based mixtures for transfer modulation in meta-learning. CoRR abs/1812.06080 (2018) - 2017
- [c33]Joseph Futoma, Sanjay Hariharan, Katherine A. Heller:
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier. ICML 2017: 1174-1182 - [c32]Elizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine A. Heller:
Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes. MLHC 2017: 231-242 - [c31]Joseph Futoma, Sanjay Hariharan, Katherine A. Heller, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O'Brien:
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection. MLHC 2017: 243-254 - [c30]Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller:
An inner-loop free solution to inverse problems using deep neural networks. NIPS 2017: 2370-2380 - [c29]Katherine A. Heller:
Machine Learning for Healthcare Data. UAI 2017 - [i8]Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller:
An inner-loop free solution to inverse problems using deep neural networks. CoRR abs/1709.01841 (2017) - [i7]Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller:
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR abs/1712.00202 (2017) - 2016
- [c28]Kai Fan, Chunyuan Li, Katherine A. Heller:
A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. AAAI 2016: 3828-3834 - [c27]Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller:
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. ICDM 2016: 121-130 - [c26]Joseph Futoma, Mark Sendak, Blake Cameron, Katherine A. Heller:
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data. MLHC 2016: 42-54 - [c25]Joseph Futoma, Mark Sendak, Blake Cameron, Katherine A. Heller:
Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease. UAI 2016 - [c24]Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao:
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes. UAI 2016 - 2015
- [c23]Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller:
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. AISTATS 2015 - [c22]Kai Fan, Marisa C. Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller:
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data. KDD 2015: 239-248 - [c21]Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson:
Parallelizing MCMC with Random Partition Trees. NIPS 2015: 451-459 - [c20]Kai Fan, Ziteng Wang, Jeffrey M. Beck, James T. Kwok, Katherine A. Heller:
Fast Second Order Stochastic Backpropagation for Variational Inference. NIPS 2015: 1387-1395 - 2014
- [r1]Zoubin Ghahramani, Shakir Mohamed, Katherine A. Heller:
Partial Membership and Factor Analysis. Handbook of Mixed Membership Models and Their Applications 2014: 67-88 - [i6]Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller:
The Bayesian Echo Chamber: Modeling Influence in Conversations. CoRR abs/1411.2674 (2014) - 2013
- [j4]Benjamin Letham, Cynthia Rudin, Katherine A. Heller:
Growing a list. Data Min. Knowl. Discov. 27(3): 372-395 (2013) - 2012
- [c19]Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . ICML 2012 - [c18]Charles Blundell, Katherine A. Heller, Jeffrey M. Beck:
Modelling Reciprocating Relationships with Hawkes Processes. NIPS 2012: 2609-2617 - [c17]Jeffrey M. Beck, Katherine A. Heller, Alexandre Pouget:
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. NIPS 2012: 3068-3076 - [c16]Wen Dong, Katherine A. Heller, Alex Pentland:
Modeling Infection with Multi-agent Dynamics. SBP 2012: 172-179 - [c15]Wen Dong, Alex Pentland, Katherine A. Heller:
Graph-Coupled HMMs for Modeling the Spread of Infection. UAI 2012: 227-236 - [i5]Charles Blundell, Yee Whye Teh, Katherine A. Heller:
Bayesian Rose Trees. CoRR abs/1203.3468 (2012) - [i4]Wen Dong, Katherine A. Heller, Alex Pentland:
Modeling Infection with Multi-agent Dynamics. CoRR abs/1204.0168 (2012) - [i3]Wen Dong, Alex Pentland, Katherine A. Heller:
Graph-Coupled HMMs for Modeling the Spread of Infection. CoRR abs/1210.4864 (2012) - 2011
- [j3]Edoardo M. Airoldi, Katherine A. Heller, Ricardo Bezerra de Andrade e Silva:
Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning. Bioinform. 27(13): 374-382 (2011) - [c14]Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths:
Testing a Bayesian Measure of Representativeness Using a Large Image Database. NIPS 2011: 2321-2329 - [i2]Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Bayesian and L1 Approaches to Sparse Unsupervised Learning. CoRR abs/1106.1157 (2011) - 2010
- [c13]Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei:
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML 2010: 1151-1158 - [c12]Charles Blundell, Yee Whye Teh, Katherine A. Heller:
Bayesian Rose Trees. UAI 2010: 65-72 - [c11]Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller:
An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS 2010: 892-899
2000 – 2009
- 2009
- [j2]Richard S. Savage, Katherine A. Heller, Yang Xu, Zoubin Ghahramani, William M. Truman, Murray Grant, Katherine J. Denby, David L. Wild:
R/BHC: fast Bayesian hierarchical clustering for microarray data. BMC Bioinform. 10 (2009) - [c10]Katherine A. Heller, Adam Sanborn, Nick Chater:
Hierarchical Learning of Dimensional Biases in Human Categorization. NIPS 2009: 727-735 - [c9]Katherine A. Heller, Yee Whye Teh, Dilan Görür:
Infinite Hierarchical Hidden Markov Models. AISTATS 2009: 224-231 - [c8]Yang Xu, Katherine A. Heller, Zoubin Ghahramani:
Tree-Based Inference for Dirichlet Process Mixtures. AISTATS 2009: 623-630 - [i1]Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi:
Ranking Relations using Analogies in Biological and Information Networks. CoRR abs/0912.5193 (2009) - 2008
- [c7]Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani:
Statistical models for partial membership. ICML 2008: 392-399 - [c6]Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani:
Bayesian Exponential Family PCA. NIPS 2008: 1089-1096 - 2007
- [c5]Katherine A. Heller, Zoubin Ghahramani:
A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. AISTATS 2007: 187-194 - [c4]Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani:
Analogical Reasoning with Relational Bayesian Sets. AISTATS 2007: 500-507 - 2006
- [c3]Katherine A. Heller, Zoubin Ghahramani:
A Simple Bayesian Framework for Content-Based Image Retrieval. CVPR (2) 2006: 2110-2117 - 2005
- [j1]Salvatore J. Stolfo, Frank Apap, Eleazar Eskin, Katherine A. Heller, Shlomo Hershkop, Andrew Honig, Krysta M. Svore:
A comparative evaluation of two algorithms for Windows Registry Anomaly Detection. J. Comput. Secur. 13(4): 659-693 (2005) - [c2]Katherine A. Heller, Zoubin Ghahramani:
Bayesian hierarchical clustering. ICML 2005: 297-304 - [c1]Zoubin Ghahramani, Katherine A. Heller:
Bayesian Sets. NIPS 2005: 435-442
Coauthor Index
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