Joshua T Vogelstein
5 papers · 2013–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (11) π Cross-Pollinator (10)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(22)
π£
Hot Topic Early Bird
Conferences
NIPS (3)
ICML (2)
Top co-authors
Keywords
bayesian inference
(2)
bayesian nonparametrics
(2)
few-shot learning
(1)
nonparametric bayesian
(1)
domain generalization
(1)
variational inference
(1)
transfer learning
(1)
density estimation
(1)
data augmentation
(1)
pac learning
(1)
neural network optimization
(1)
computational efficiency
(1)
empirical risk minimization
(1)
time series
(1)
nonparametric estimation
(1)
generalization error
(1)
distribution shift
(1)
spike detection
(1)
gamma process
(1)
neural spike sorting
(1)
Papers
Prospective Learning: Learning for a Dynamic Future
NIPS 2024
The Value of Out-of-Distribution Data
ICML 2023
Polarity Is All You Need to Learn and Transfer Faster
ICML 2023
Multiscale Dictionary Learning for Estimating Conditional Distributions
NIPS 2013
Real-Time Inference for a Gamma Process Model of Neural Spiking
NIPS 2013