Katherine A. Heller
14 papers · 1999–2023 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Ultra π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π§
Keyword Pioneer
ποΈ
Keyword Collector
(87)
π
Trend Setter
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Optimization & Theory
(9)
Bayesian & Probabilistic Β· Machine Learning
(7)
Bayesian & Probabilistic Β· Artificial Intelligence
(7)
Core Methods
(6)
Interdisciplinary
(4)
Deep Learning
(3)
Cognitive Science
(3)
Application Areas
(2)
Core AI
(2)
Models
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
bayesian inference
(5)
variational inference
(3)
hierarchical bayesian
(2)
dirichlet process
(2)
matrix factorization
(1)
bayesian nonparametrics
(1)
point processes
(1)
clinical prediction
(1)
few-shot learning
(1)
principal component analysis
(1)
domain generalization
(1)
image retrieval
(1)
cognitive modeling
(1)
latent dirichlet allocation
(1)
hierarchical learning
(1)
approximate inference
(1)
supervised learning
(1)
social network analysis
(1)
continual learning
(1)
dimensionality reduction
(1)
Papers
Participatory Personalization in Classification
NeurIPS 2023
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings
NeurIPS 2022
Variational refinement for importance sampling using the forward Kullback-Leibler divergence
UAI 2021
Reconciling meta-learning and continual learning with online mixtures of tasks
NeurIPS 2019
An inner-loop free solution to inverse problems using deep neural networks
NeurIPS 2017
Fast Second Order Stochastic Backpropagation for Variational Inference
NeurIPS 2015
Parallelizing MCMC with Random Partition Trees
NeurIPS 2015
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models
NeurIPS 2012
Modelling Reciprocating Relationships with Hawkes Processes
NeurIPS 2012
Testing a Bayesian Measure of Representativeness Using a Large Image Database
NeurIPS 2011
Hierarchical Learning of Dimensional Biases in Human Categorization
NeurIPS 2009
Bayesian Exponential Family PCA
NeurIPS 2008
Analogical Reasoning with Relational Bayesian Sets
AISTATS 1999
A Nonparametric Bayesian Approach to Modeling Overlapping Clusters
AISTATS 1999