Jon Cockayne
5 papers · 2017–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (13)
🗺️
Taxonomy Completionist
(10)
🐣
Hot Topic Early Bird
Conferences
AISTATS (2)
JMLR (2)
ICML (1)
Top co-authors
Keywords
uncertainty quantification
(2)
bayesian inference
(2)
importance sampling
(1)
hypothesis testing
(1)
probability distribution
(1)
sequential monte carlo
(1)
numerical integration
(1)
linear system
(1)
iterative method
(1)
probabilistic method
(1)
kernel quadrature
(1)
bayesian monte carlo
(1)
statistical learning
(1)
adaptive tempering
(1)
probabilistic modeling
(1)
Papers
Computation-Aware Kalman Filtering and Smoothing
AISTATS 2025
Calibrated Computation-Aware Gaussian Processes
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