Heller, Katherine

14 publications

ICCV 2025 Erasing More than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts Ibtihel Amara, Ahmed Imtiaz Humayun, Ivana Kajic, Zarana Parekh, Natalie Harris, Sarah Young, Chirag Nagpal, Najoung Kim, Junfeng He, Cristina Nader Vasconcelos, Deepak Ramachandran, Golnoosh Farnadi, Katherine Heller, Mohammad Havaei, Negar Rostamzadeh

NeurIPSW 2023 Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy

CHIL 2022 Disability Prediction in Multiple Sclerosis Using Performance Outcome Measures and Demographic Data Subhrajit Roy, Diana Mincu, Lev Proleev, Negar Rostamzadeh, Chintan Ghate, Natalie Harris, Christina Chen, Jessica Schrouff, Nenad Tomašev, Fletcher Lee Hartsell, Katherine Heller

JMLR 2022 Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander D'Amour, Katherine 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, Yian 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

MLHC 2021 Deep Cox Mixtures for Survival Regression Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

ICML 2020 Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors Michael Dusenberry, Ghassen Jerfel, Yeming Wen, Yian Ma, Jasper Snoek, Katherine Heller, Balaji Lakshminarayanan, Dustin Tran

AISTATS 2019 SMOGS: Social Network Metrics of Game Success Fan Bu, Sonia Xu, Katherine Heller, Alexander Volfovsky

MLHC 2017 An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph Futoma, Sanjay Hariharan, Katherine Heller, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O’Brien

ICML 2017 Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier Joseph Futoma, Sanjay Hariharan, Katherine Heller

MLHC 2017 Predictive Hierarchical Clustering: Learning Clusters of CPT Codes for Improving Surgical Outcomes Elizabeth C. Lorenzi, Stephanie L. Brown, Zhifei Sun, Katherine Heller

MLHC 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data Joseph Futoma, Mark Sendak, Blake Cameron, Katherine Heller

AISTATS 2010 An Alternative Prior Process for Nonparametric Bayesian Clustering Hanna Wallach, Shane Jensen, Lee Dicker, Katherine Heller

AISTATS 2009 Infinite Hierarchical Hidden Markov Models Katherine Heller, Yee Whye Teh, Dilan Gorur

AISTATS 2009 Tree-Based Inference for Dirichlet Process Mixtures Yang Xu, Katherine Heller, Zoubin Ghahramani