Gregory Benton
6 papers · 2019–2022 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(5)
Core Methods
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Architectures
(2)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
bayesian inference
(2)
gaussian process
(2)
image classification
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
multi-task learning
(1)
model selection
(1)
hyperparameter learning
(1)
data augmentation
(1)
neural architecture search
(1)
neural network optimization
(1)
loss landscape
(1)
kernel learning
(1)
marginal likelihood
(1)
invariance learning
(1)
time series forecasting
(1)
convolutional neural network
(1)
stochastic differential equation
(1)
mode connectivity
(1)
spectral density
(1)
Papers
Bayesian Model Selection, the Marginal Likelihood, and Generalization
ICML 2022
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
ICML 2022
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
ICML 2021
Residual Pathway Priors for Soft Equivariance Constraints
NeurIPS 2021
Learning Invariances in Neural Networks from Training Data
NeurIPS 2020
Function-Space Distributions over Kernels
NeurIPS 2019