Jacob Gardner
30 papers
· 2014–2024
· 7 conferences
· across top CS/AI conferences
Achievements
π
Conference Polyglot
(7)
πΊοΈ
Taxonomy Completionist
(50)
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Renaissance Researcher
(8)
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Interdisciplinary Bridge
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Cross-Pollinator
(14)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
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Academic Marathon
(10)
π€
Dynamic Duo
(10)
π¬
Deep Specialist
(20)
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Keyword Champion
(3)
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Trend Setter
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(124)
β
The Questioner
(2)
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Century Club
(30)
π₯
Unstoppable
(8)
Conferences
NIPS (14)
AISTATS (6)
ICML (6)
AAAI (1)
CVPR (1)
EACL (1)
UAI (1)
Top co-authors
Research topics
Keywords
gaussian process
(14)
bayesian optimization
(13)
variational inference
(7)
black-box optimization
(4)
kernel matrix
(4)
predictive distribution
(3)
scalable inference
(3)
stochastic gradient descent
(3)
local optimization
(2)
matrix multiplication
(2)
inducing point method
(2)
bayesian inference
(2)
surrogate model
(2)
inducing point
(2)
trust region
(2)
conjugate gradient
(2)
hyperparameter tuning
(2)
markov chain monte carlo
(2)
gradient variance
(2)
scalable learning
(1)
Papers
Parametric Gaussian Process Regressors
ICML 2020
Deep Sigma Point Processes
UAI 2020
Simple Black-box Adversarial Attacks
ICML 2019