Heller, Katherine A

40 publications

ICML 2025 Position: Stop Treating ‘AGI’ as the North-Star Goal of AI Research Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li, Hananel Hazan, El-Mahdi El-Mhamdi, Avijit Ghosh, Katherine A Heller, Jacob Metcalf, Fabricio Murai, Eryk Salvaggio, Andrew J Smart, Todd Snider, Mariame Tighanimine, Talia Ringer, Margaret Mitchell, Shiri Dori-Hacohen
NeurIPS 2025 Understanding Challenges to the Interpretation of Disaggregated Evaluations of Algorithmic Fairness Stephen R Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Peter Okechukwu Ezeanochie, Heather Cole-Lewis, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour
ICLR 2025 What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models Ahmed Imtiaz Humayun, Ibtihel Amara, Cristina Nader Vasconcelos, Deepak Ramachandran, Candice Schumann, Junfeng He, Katherine A Heller, Golnoosh Farnadi, Negar Rostamzadeh, Mohammad Havaei
ICLR 2024 Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine A Heller, Subhrajit Roy
NeurIPSW 2024 Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases Mercy Nyamewaa Asiedu, Nenad Tomasev, Chintan Ghate, Tiya Tiyasirichokchai, Awa Dieng, Geoffrey Siwo, Steve Adudans, Oluwatosin Wuraola Akande, Katherine A Heller
NeurIPSW 2024 Contextual Evaluation of Large Language Models for Classifying Tropical and Infectious Diseases Mercy Nyamewaa Asiedu, Nenad Tomasev, Chintan Ghate, Tiya Tiyasirichokchai, Awa Dieng, Oluwatosin Wuraola Akande, Geoffrey Siwo, Steve Adudans, Sylvanus Oliver Aitkins, Odianosen Ehiakhamen, Eric M. Ndombi, Katherine A Heller
TMLR 2023 Benchmarking Continuous Time Models for Predicting Multiple Sclerosis Progression Alexander Luke Ian Norcliffe, Lev Proleev, Diana Mincu, F Lee Hartsell, Katherine A Heller, Subhrajit Roy
ICLRW 2023 Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Oluwasanmi O Koyejo, Katherine A Heller
NeurIPS 2023 Participatory Personalization in Classification Hailey Joren, Chirag Nagpal, Katherine A. Heller, Berk Ustun
ICMLW 2023 Participatory Personalization in Classification Hailey Joren, Chirag Nagpal, Katherine A Heller, Berk Ustun
NeurIPSW 2023 Reward Model Underspecification in Language Model Alignment Jacob Eisenstein, Jonathan Berant, Chirag Nagpal, Alekh Agarwal, Ahmad Beirami, Alexander Nicholas D'Amour, Krishnamurthy Dj Dvijotham, Katherine A Heller, Stephen Robert Pfohl, Deepak Ramachandran
NeurIPSW 2023 Understanding Subgroup Performance Differences of Fair Predictors Using Causal Models Stephen Robert Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Elijah Salaudeen, Katherine A Heller, Sanmi Koyejo, Alexander Nicholas D'Amour
NeurIPS 2022 Diagnosing Failures of Fairness Transfer Across Distribution Shift in Real-World Medical Settings 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
NeurIPSW 2022 Participatory Systems for Personalized Prediction Hailey Joren, Chirag Nagpal, Katherine A Heller, Berk Ustun
NeurIPSW 2022 Participatory Systems for Personalized Prediction Hailey Joren, Chirag Nagpal, Katherine A Heller, Berk Ustun
UAI 2021 Variational Refinement for Importance Sampling Using the Forward Kullback-Leibler Divergence Ghassen Jerfel, Serena Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
NeurIPS 2019 Reconciling Meta-Learning and Continual Learning with Online Mixtures of Tasks Ghassen Jerfel, Erin Grant, Tom Griffiths, Katherine A. Heller
NeurIPS 2017 An Inner-Loop Free Solution to Inverse Problems Using Deep Neural Networks Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller
UAI 2017 Machine Learning for Healthcare Data Katherine A. Heller
AAAI 2016 A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection Kai Fan, Chunyuan Li, Katherine A. Heller
UAI 2016 Content-Based Modeling of Reciprocal Relationships Using Hawkes and Gaussian Processes Xi Tan, Syed A. Z. Naqvi, Yuan (Alan) Qi, Katherine A. Heller, Vinayak A. Rao
UAI 2016 Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller
NeurIPS 2015 Fast Second Order Stochastic Backpropagation for Variational Inference Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller
NeurIPS 2015 Parallelizing MCMC with Random Partition Trees Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B Dunson
AISTATS 2015 The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation Fangjian Guo, Charles Blundell, Hanna M. Wallach, Katherine A. Heller
NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models Jeff Beck, Alexandre Pouget, Katherine A. Heller
ICML 2012 Evaluating Bayesian and L1 Approaches for Sparse Unsupervised Learning Shakir Mohamed, Katherine A. Heller, Zoubin Ghahramani
UAI 2012 Graph-Coupled HMMs for Modeling the Spread of Infection Wen Dong, Alex Pentland, Katherine A. Heller
NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes Charles Blundell, Jeff Beck, Katherine A. Heller
NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database Joshua T. Abbott, Katherine A. Heller, Zoubin Ghahramani, Thomas L. Griffiths
UAI 2010 Bayesian Rose Trees Charles Blundell, Yee Whye Teh, Katherine A. Heller
ICML 2010 The IBP Compound Dirichlet Process and Its Application to Focused Topic Modeling Sinead Williamson, Chong Wang, Katherine A. Heller, David M. Blei
NeurIPS 2009 Hierarchical Learning of Dimensional Biases in Human Categorization Adam Sanborn, Nick Chater, Katherine A. Heller
NeurIPS 2008 Bayesian Exponential Family PCA Shakir Mohamed, Zoubin Ghahramani, Katherine A. Heller
ICML 2008 Statistical Models for Partial Membership Katherine A. Heller, Sinead Williamson, Zoubin Ghahramani
AISTATS 2007 A Nonparametric Bayesian Approach to Modeling Overlapping Clusters Katherine A. Heller, Zoubin Ghahramani
AISTATS 2007 Analogical Reasoning with Relational Bayesian Sets Ricardo Silva, Katherine A. Heller, Zoubin Ghahramani
CVPR 2006 A Simple Bayesian Framework for Content-Based Image Retrieval Katherine A. Heller, Zoubin Ghahramani
ICML 2005 Bayesian Hierarchical Clustering Katherine A. Heller, Zoubin Ghahramani
NeurIPS 2005 Bayesian Sets Zoubin Ghahramani, Katherine A. Heller