Katherine A. Heller

Affiliations:
  • Google Research, USA
  • Duke University, Department of Statistical Science, Durham, NC, USA (former)
  • Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology (former)


According to our database1, Katherine A. Heller authored at least 69 papers between 2005 and 2024.

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Bibliography

2024
A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models.
CoRR, 2024

The Case for Globalizing Fairness: A Mixed Methods Study on Colonialism, AI, and Health in Africa.
CoRR, 2024

2023
Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking.
CoRR, 2023

Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.
CoRR, 2023

STUDY: Socially Aware Temporally Casual Decoder Recommender Systems.
CoRR, 2023

Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa.
CoRR, 2023

Longitudinal Modeling of Multiple Sclerosis using Continuous Time Models.
CoRR, 2023

Participatory Systems for Personalized Prediction.
CoRR, 2023

Participatory Personalization in Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
J. Mach. Learn. Res., 2022

Maintaining fairness across distribution shift: do we have viable solutions for real-world applications?
CoRR, 2022

Diagnosing failures of fairness transfer across distribution shift in real-world medical settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Opportunities for Human-centered Evaluation of Machine Translation Systems.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Healthsheet: Development of a Transparency Artifact for Health Datasets.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Evaluation Gaps in Machine Learning Practice.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Disability prediction in multiple sclerosis using performance outcome measures and demographic data.
Proceedings of the Conference on Health, Inference, and Learning, 2022

2021
Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence.
CoRR, 2021

Variational refinement for importance sampling using the forward Kullback-Leibler divergence.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Deep Cox Mixtures for Survival Regression.
Proceedings of the Machine Learning for Healthcare Conference, 2021

2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors.
Proceedings of the 37th International Conference on Machine Learning, 2020

Analyzing the role of model uncertainty for electronic health records.
Proceedings of the ACM CHIL '20: ACM Conference on Health, 2020

2019
Federated and Differentially Private Learning for Electronic Health Records.
CoRR, 2019

Reconciling meta-learning and continual learning with online mixtures of tasks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

SMOGS: Social Network Metrics of Game Success.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Online gradient-based mixtures for transfer modulation in meta-learning.
CoRR, 2018

Learning Root Source with Marked Multivariate Hawkes Processes.
CoRR, 2018

2017
InverseNet: Solving Inverse Problems with Splitting Networks.
CoRR, 2017

Machine Learning for Healthcare Data.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

An inner-loop free solution to inverse problems using deep neural networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predictive Hierarchical Clustering: Learning clusters of CPT codes for improving surgical outcomes.
Proceedings of the Machine Learning for Health Care Conference, 2017

An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection.
Proceedings of the Machine Learning for Health Care Conference, 2017

Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
Content-based Modeling of Reciprocal Relationships using Hawkes and Gaussian Processes.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data.
Proceedings of the 1st Machine Learning in Health Care, 2016

Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Parallelizing MCMC with Random Partition Trees.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Fast Second Order Stochastic Backpropagation for Variational Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Partial Membership and Factor Analysis.
Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

The Bayesian Echo Chamber: Modeling Influence in Conversations.
CoRR, 2014

2013
Growing a list.
Data Min. Knowl. Discov., 2013

2012
Graph-Coupled HMMs for Modeling the Spread of Infection.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Modeling Infection with Multi-agent Dynamics.
Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

Modelling Reciprocating Relationships with Hawkes Processes.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning .
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Bayesian and L1 Approaches to Sparse Unsupervised Learning
CoRR, 2011

Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning.
Bioinform., 2011

Testing a Bayesian Measure of Representativeness Using a Large Image Database.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
An Alternative Prior Process for Nonparametric Bayesian Clustering.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Bayesian Rose Trees.
Proceedings of the UAI 2010, 2010

The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Tree-Based Inference for Dirichlet Process Mixtures.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Infinite Hierarchical Hidden Markov Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Ranking Relations using Analogies in Biological and Information Networks
CoRR, 2009

R/BHC: fast Bayesian hierarchical clustering for microarray data.
BMC Bioinform., 2009

Hierarchical Learning of Dimensional Biases in Human Categorization.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008
Bayesian Exponential Family PCA.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Statistical models for partial membership.
Proceedings of the Machine Learning, 2008

2007
Analogical Reasoning with Relational Bayesian Sets.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

A Nonparametric Bayesian Approach to Modeling Overlapping Clusters.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

2006
A Simple Bayesian Framework for Content-Based Image Retrieval.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
A comparative evaluation of two algorithms for Windows Registry Anomaly Detection.
J. Comput. Secur., 2005

Bayesian Sets.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Bayesian hierarchical clustering.
Proceedings of the Machine Learning, 2005


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