Katherine Heller
12 papers · 2005–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(7)
Artificial Intelligence
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Optimization & Theory
(5)
Deep Learning
(3)
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Bayesian & Probabilistic Β· Artificial Intelligence
(3)
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(3)
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(3)
Natural Language Processing
(2)
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Core AI
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Bayesian & Probabilistic Β· Machine Learning
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Keywords
mixture model
(2)
variational inference
(2)
dirichlet process
(1)
domain generalization
(1)
clinical prediction
(1)
bayesian inference
(1)
machine translation
(1)
gaussian process
(1)
text-to-image generation
(1)
model safety
(1)
uncertainty quantification
(1)
markov chain monte carlo
(1)
time series classification
(1)
bayesian model
(1)
nonparametric bayesian
(1)
pitman-yor process
(1)
gaussian process regression
(1)
gibbs sampling
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human-computer interaction
(1)
multi-task learning
(1)
Papers
Erasing More Than Intended? How Concept Erasure Degrades the Generation of Non-Target Concepts
ICCV 2025
Opportunities for Human-centered Evaluation of Machine Translation Systems
NAACL 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Deep Cox Mixtures for Survival Regression
MLHC 2021
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
ICML 2020
SMOGS: Social Network Metrics of Game Success
AISTATS 2019
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
ICML 2017
Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data
MLHC 2016
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
AISTATS 2015
An Alternative Prior Process for Nonparametric Bayesian Clustering
AISTATS 2010
Infinite Hierarchical Hidden Markov Models
AISTATS 2005
Tree-Based Inference for Dirichlet Process Mixtures
AISTATS 2005