Terrance D. Savitsky
4 papers · 2016–2026 · 1 venue · across top CS/AI venues
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Academic Marathon · Half
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Optimization & Theory
(3)
Core Methods
(2)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Application Areas
(1)
Differential Privacy
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Keywords
bayesian inference
(3)
differential privacy
(1)
uncertainty quantification
(1)
synthetic data generation
(1)
markov chain monte carlo
(1)
outlier detection
(1)
posterior distribution
(1)
gaussian process
(1)
gibbs sampling
(1)
hierarchical dirichlet process
(1)
mean-field approximation
(1)
informative sampling
(1)
gaussian process prior
(1)
synthetic data
(1)
functional data
(1)
confidence interval
(1)
variational baye
(1)
pseudo posterior
(1)
varying coefficient model
(1)
nonparametric mixture
(1)
Papers
Simulation-based Calibration of Uncertainty Intervals under Approximate Bayesian Estimation
JMLR 2026
Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy
JMLR 2022
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior
JMLR 2022
Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling
JMLR 2016