John Cunningham
13 papers · 2012–2022 · 2 venues · across top CS/AI venues
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Achievements
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Conference Pioneer
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Keyword Collector
(64)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(9)
Artificial Intelligence
(6)
Mathematics & Optimization
(6)
Bayesian & Probabilistic Β· Artificial Intelligence
(5)
Optimization
(5)
Core Methods
(3)
Learning Types
(3)
Deep Learning
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Mathematics
(2)
Data Science & Analytics
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Keywords
gaussian process
(5)
kernel matrix
(2)
conjugate gradient
(2)
markov chain monte carlo
(2)
bayesian inference
(2)
hyperparameter optimization
(1)
hyperparameter learning
(1)
variational inference
(1)
ising model
(1)
constrained optimization
(1)
belief propagation
(1)
model calibration
(1)
time series
(1)
importance sampling
(1)
dynamic programming
(1)
partition function
(1)
gaussian process regression
(1)
exponential family
(1)
experimental design
(1)
uncertainty quantification
(1)
Papers
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
ICML 2022
Scaling Structured Inference with Randomization
ICML 2022
Hierarchical Inducing Point Gaussian Process for Inter-domian Observations
AISTATS 2021
The continuous categorical: a novel simplex-valued exponential family
ICML 2020
Calibrating Deep Convolutional Gaussian Processes
AISTATS 2019
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography
ICML 2019
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
AISTATS 2018
Annular Augmentation Sampling
AISTATS 2017
Preconditioning Kernel Matrices
ICML 2016
Slice Sampling on Hamiltonian Trajectories
ICML 2016
Bayesian Optimization with Inequality Constraints
ICML 2014
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
ICML 2013
Gaussian Processes for time-marked time-series data
AISTATS 2012