default search action
Katherine A. Heller
Person information
- affiliation: Google Research, USA
- affiliation (former): Duke University, Department of Statistical Science, Durham, NC, USA
- affiliation (former): Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [c47]Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy:
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. ICLR 2024 - [i28]Mercy Nyamewaa Asiedu, Awa Dieng, Iskandar Haykel, Negar Rostamzadeh, Stephen Pfohl, Chirag Nagpal, Maria Nagawa, Abigail Oppong, Sanmi Koyejo, Katherine A. Heller:
The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa. CoRR abs/2403.03357 (2024) - [i27]Stephen R. Pfohl, Heather Cole-Lewis, Rory Sayres, Darlene Neal, Mercy Nyamewaa Asiedu, Awa Dieng, Nenad Tomasev, Qazi Mamunur Rashid, Shekoofeh Azizi, Negar Rostamzadeh, Liam G. McCoy, Leo Anthony Celi, Yun Liu, Mike Schaekermann, Alanna Walton, Alicia Parrish, Chirag Nagpal, Preeti Singh, Akeiylah Dewitt, Philip Andrew Mansfield, Sushant Prakash, Katherine A. Heller, Alan Karthikesalingam, Christopher Semturs, Joelle K. Barral, Greg Corrado, Yossi Matias, Jamila Smith-Loud, Ivor Horn, Karan Singhal:
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models. CoRR abs/2403.12025 (2024) - 2023
- [j6]Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy:
Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression. Trans. Mach. Learn. Res. 2023 (2023) - [c46]Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun:
Participatory Personalization in Classification. NeurIPS 2023 - [i26]Hailey James, Chirag Nagpal, Katherine A. Heller, Berk Ustun:
Participatory Systems for Personalized Prediction. CoRR abs/2302.03874 (2023) - [i25]Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy:
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR abs/2302.07854 (2023) - [i24]Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Sanmi Koyejo, Katherine A. Heller:
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa. CoRR abs/2304.02190 (2023) - [i23]Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy:
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. CoRR abs/2306.07946 (2023) - [i22]Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A. Heller, Subhrajit Roy:
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering. CoRR abs/2309.17249 (2023) - [i21]Jacob Eisenstein, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alex D'Amour, Dj Dvijotham, Adam Fisch, Katherine A. Heller, Stephen Pfohl, Deepak Ramachandran, Peter Shaw, Jonathan Berant:
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking. CoRR abs/2312.09244 (2023) - 2022
- [j5]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 Y. 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. J. Mach. Learn. Res. 23: 226:1-226:61 (2022) - [c45]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CHIL 2022: 375-396 - [c44]Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. FAccT 2022: 1859-1876 - [c43]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. FAccT 2022: 1943-1961 - [c42]Daniel Liebling, Katherine A. Heller, Samantha Robertson, Wesley Hanwen Deng:
Opportunities for Human-centered Evaluation of Machine Translation Systems. NAACL-HLT (Findings) 2022: 229-240 - [c41]Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 2022 - [i20]Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour:
Maintaining fairness across distribution shift: do we have viable solutions for real-world applications? CoRR abs/2202.01034 (2022) - [i19]Negar Rostamzadeh, Diana Mincu, Subhrajit Roy, Andrew Smart, Lauren Wilcox, Mahima Pushkarna, Jessica Schrouff, Razvan Amironesei, Nyalleng Moorosi, Katherine A. Heller:
Healthsheet: Development of a Transparency Artifact for Health Datasets. CoRR abs/2202.13028 (2022) - [i18]Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomasev, Fletcher Lee Hartsell, Katherine A. Heller:
Disability prediction in multiple sclerosis using performance outcome measures and demographic data. CoRR abs/2204.03969 (2022) - [i17]Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran:
Evaluation Gaps in Machine Learning Practice. CoRR abs/2205.05256 (2022) - 2021
- [c40]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. MLHC 2021: 674-708 - [c39]Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan:
Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI 2021: 1819-1829 - [i16]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. CoRR abs/2101.06536 (2021) - [i15]Ghassen Jerfel, Serena Lutong Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan:
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR abs/2106.15980 (2021) - 2020
- [c38]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 - [c37]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 - [i14]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) - [i13]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 Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020)
2010 – 2019
- 2019
- [c36]Fan Bu, Sonia Xu, Katherine A. Heller, Alexander Volfovsky:
SMOGS: Social Network Metrics of Game Success. AISTATS 2019: 2406-2414 - [c35]Qi Wei, Kai Fan
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 - [i12]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) - [i11]Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller:
Federated and Differentially Private Learning for Electronic Health Records. CoRR abs/1911.05861 (2019) - 2018
- [i10]Wei Zhang, Fan Bu, Derek Owens-Oas, Katherine A. Heller, Xiaojin Zhu:
Learning Root Source with Marked Multivariate Hawkes Processes. CoRR abs/1809.03648 (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 P. 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 P. 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 P. 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
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
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
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:45 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: