Jon Cockayne
5 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(11)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Mathematics & Optimization
(3)
Learning Types
(3)
Mathematics
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Methods
(1)
Probability
(1)
Keywords
uncertainty quantification
(3)
bayesian inference
(2)
kalman filtering
(1)
gaussian process
(1)
importance sampling
(1)
hypothesis testing
(1)
probability distribution
(1)
sequential monte carlo
(1)
numerical integration
(1)
large-scale regression
(1)
linear system
(1)
kalman smoothing
(1)
iterative method
(1)
predictive uncertainty
(1)
probabilistic method
(1)
kernel quadrature
(1)
bayesian monte carlo
(1)
adaptive tempering
(1)
probabilistic numerical method
(1)
probabilistic linear solver
(1)
Papers
Calibrated Computation-Aware Gaussian Processes
AISTATS 2025
Computation-Aware Kalman Filtering and Smoothing
AISTATS 2025
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
Probabilistic Iterative Methods for Linear Systems
JMLR 2021
On the Sampling Problem for Kernel Quadrature
ICML 2017