Jennifer Listgarten
5 papers · 2006–2025 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (20) π Conference Polyglot Β· Bronze π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π±
Topic Pioneer
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Keyword Trendsetter Combo
(4)
π§
Keyword Pioneer
π
Keyword Champion
π
Trend Setter
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(4)
Learning Types Β· Machine Learning
(4)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Core AI
(2)
Models
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Keywords
variational inference
(2)
active learning
(1)
hierarchical bayesian
(1)
nonparametric bayesian
(1)
probabilistic modeling
(1)
black-box optimization
(1)
stochastic gradient
(1)
anomaly detection
(1)
bayesian inference
(1)
change detection
(1)
statistical modeling
(1)
hyperparameter optimization
(1)
flow matching
(1)
adaptive sampling
(1)
unsupervised learning
(1)
difference detection
(1)
model alignment
(1)
gaussian process
(1)
time series
(1)
time series analysis
(1)
Papers
Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
ICLR 2025
Autofocused oracles for model-based design
NeurIPS 2020
Conditioning by adaptive sampling for robust design
ICML 2019
Gaussian Process Prior Variational Autoencoders
NeurIPS 2018
Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure
NeurIPS 2006