Katherine A. Heller

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 43

Top Topics

Inverse Problems

Multiple Sclerosis

Gaussian Process

Top Venues

Publications

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)
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 (2024)
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 (2024)
Alexander Norcliffe, Lev Proleev, Diana Mincu, Fletcher Lee Hartsell, Katherine A. Heller, Subhrajit Roy
Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models. CoRR (2023)
Hailey James, Chirag Nagpal, Katherine A. Heller, Berk Ustun
Participatory Systems for Personalized Prediction. CoRR (2023)
Eltayeb Ahmed, Diana Mincu, Lauren Harrell, Katherine A. Heller, Subhrajit Roy
STUDY: Socially Aware Temporally Casual Decoder Recommender Systems. CoRR (2023)
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 (2023)
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 (2023)
Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun
Participatory Personalization in Classification. NeurIPS (2023)
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 (2023)
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)
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 (2022)
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)
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)
Jessica Schrouff, Natalie Harris, Oluwasanmi Koyejo, Ibrahim Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alex 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 (2022)
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 (2022)
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 (2022)
Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran
Evaluation Gaps in Machine Learning Practice. CoRR (2022)
Ghassen Jerfel, Serena Wang, Clara Fannjiang, Katherine A. Heller, Yi-An Ma, Michael I. Jordan
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence. CoRR (2021)
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
Deep Cox Mixtures for Survival Regression. MLHC (2021)
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
Deep Cox Mixtures for Survival Regression. CoRR (2021)
Ghassen Jerfel, Serena 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)
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. CoRR (2020)
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 (2020)
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)
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)
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 (2019)
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)
Stephen R. Pfohl, Andrew M. Dai, Katherine A. Heller
Federated and Differentially Private Learning for Electronic Health Records. CoRR (2019)
Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller
Reconciling meta-learning and continual learning with online mixtures of tasks. NeurIPS (2019)
Ghassen Jerfel, Erin Grant, Thomas L. Griffiths, Katherine A. Heller
Online gradient-based mixtures for transfer modulation in meta-learning. CoRR (2018)
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)
Joseph Futoma, Sanjay Hariharan, Katherine A. Heller
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier. ICML (2017)
Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller
An inner-loop free solution to inverse problems using deep neural networks. NIPS (2017)
Katherine A. Heller
Machine Learning for Healthcare Data. UAI (2017)
Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller
An inner-loop free solution to inverse problems using deep neural networks. CoRR (2017)
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)
Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR (2017)
Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. ICDM (2016)
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)
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)
Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data. MLHC (2016)
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)
Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson
Parallelizing MCMC with Random Partition Trees. NIPS (2015)
Kai Fan, Ziteng Wang, Jeffrey M. Beck, James T. Kwok, Katherine A. Heller
Fast Second Order Stochastic Backpropagation for Variational Inference. NIPS (2015)
Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation. AISTATS (2015)
Kai Fan, Marisa C. Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data. KDD (2015)
Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
The Bayesian Echo Chamber: Modeling Influence in Conversations. CoRR (2014)
Benjamin Letham, Cynthia Rudin, Katherine A. Heller
Growing a list. Data Min. Knowl. Discov. 27 (3) (2013)
Charles Blundell, Katherine A. Heller, Jeffrey M. Beck
Modelling Reciprocating Relationships with Hawkes Processes. NIPS (2012)
Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning . ICML (2012)
Wen Dong, Katherine A. Heller, Alex Pentland
Modeling Infection with Multi-agent Dynamics CoRR (2012)
Charles Blundell, Yee Whye Teh, Katherine A. Heller
Bayesian Rose Trees CoRR (2012)
Wen Dong, Katherine A. Heller, Alex Pentland
Modeling Infection with Multi-agent Dynamics. SBP (2012)
Wen Dong, Alex Pentland, Katherine A. Heller
Graph-Coupled HMMs for Modeling the Spread of Infection CoRR (2012)
Wen Dong, Alex Pentland, Katherine A. Heller
Graph-Coupled HMMs for Modeling the Spread of Infection. UAI (2012)
Jeffrey M. Beck, Katherine A. Heller, Alexandre Pouget
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. NIPS (2012)
Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
Bayesian and L1 Approaches to Sparse Unsupervised Learning CoRR (2011)
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) (2011)
Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths
Testing a Bayesian Measure of Representativeness Using a Large Image Database. NIPS (2011)
Hanna M. Wallach, Shane T. Jensen, Lee H. Dicker, Katherine A. Heller
An Alternative Prior Process for Nonparametric Bayesian Clustering. AISTATS (2010)
Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling. ICML (2010)
Charles Blundell, Yee Whye Teh, Katherine A. Heller
Bayesian Rose Trees. UAI (2010)
Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani, Edoardo M. Airoldi
Ranking Relations using Analogies in Biological and Information Networks CoRR (2009)
Yang Xu, Katherine A. Heller, Zoubin Ghahramani
Tree-Based Inference for Dirichlet Process Mixtures. AISTATS (2009)
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)
Katherine A. Heller, Yee Whye Teh, Dilan Görür
Infinite Hierarchical Hidden Markov Models. AISTATS (2009)
Katherine A. Heller, Adam Sanborn, Nick Chater
Hierarchical Learning of Dimensional Biases in Human Categorization. NIPS (2009)
Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani
Statistical models for partial membership. ICML (2008)
Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
Bayesian Exponential Family PCA. NIPS (2008)
Katherine A. Heller, Zoubin Ghahramani
A Nonparametric Bayesian Approach to Modeling Overlapping Clusters. AISTATS (2007)
Ricardo Bezerra de Andrade e Silva, Katherine A. Heller, Zoubin Ghahramani
Analogical Reasoning with Relational Bayesian Sets. AISTATS (2007)
Katherine A. Heller, Zoubin Ghahramani
A Simple Bayesian Framework for Content-Based Image Retrieval. CVPR (2) (2006)
Zoubin Ghahramani, Katherine A. Heller
Bayesian Sets. NIPS (2005)
Katherine A. Heller, Zoubin Ghahramani
Bayesian hierarchical clustering. ICML (2005)
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) (2005)