Kevin Roth
7 papers · 2017–2021 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(16)
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The Questioner
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Artificial Intelligence
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Models
(4)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Architectures
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Techniques
(1)
Keywords
bayesian neural network
(3)
stochastic gradient
(1)
stochastic gradient descent
(1)
adversarial robustness
(1)
image generation
(1)
network architecture
(1)
variational inference
(1)
uncertainty quantification
(1)
data augmentation
(1)
adversarial training
(1)
deep learning
(1)
neural network optimization
(1)
markov chain monte carlo
(1)
posterior distribution
(1)
statistical testing
(1)
mean field
(1)
mean-field approximation
(1)
gaussian priors
(1)
posterior predictive
(1)
adversarial attack
(1)
Papers
Disentangling the Roles of Curation, Data-Augmentation and the Prior in the Cold Posterior Effect
NeurIPS 2021
Precise characterization of the prior predictive distribution of deep ReLU networks
NeurIPS 2021
Adversarial Training is a Form of Data-dependent Operator Norm Regularization
NeurIPS 2020
How Good is the Bayes Posterior in Deep Neural Networks Really?
ICML 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks
ICML 2020
The Odds are Odd: A Statistical Test for Detecting Adversarial Examples
ICML 2019
Stabilizing Training of Generative Adversarial Networks through Regularization
NeurIPS 2017