Chris Oates
9 papers · 2014–2021 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Unstoppable · Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Mathematics & Optimization
(7)
Machine Learning
(6)
Optimization
(6)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Bayesian & Probabilistic · Artificial Intelligence
(5)
Mathematics
(5)
Bayesian & Probabilistic · Machine Learning
(2)
Healthcare & Medicine
(1)
Clinical
(1)
Core AI
(1)
Core Methods
(1)
Keywords
bayesian inference
(4)
numerical integration
(4)
markov chain monte carlo
(2)
stein discrepancy
(2)
kernel stein discrepancy
(2)
posterior approximation
(2)
measure transport
(2)
bayesian cubature
(2)
sequential sampling
(1)
maximum mean discrepancy
(1)
posterior distribution
(1)
stochastic process
(1)
computational model
(1)
uncertainty quantification
(1)
greedy optimization
(1)
variance reduction
(1)
conditional gradient
(1)
bayesian network
(1)
graphical model
(1)
bayesian quadrature
(1)
Papers
Measure Transport with Kernel Stein Discrepancy
AISTATS 2021
Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy
AISTATS 2021
A Locally Adaptive Bayesian Cubature Method
AISTATS 2020
Stein Point Markov Chain Monte Carlo
ICML 2019
Stein Points
ICML 2018
Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models
NeurIPS 2017
Control Functionals for Quasi-Monte Carlo Integration
AISTATS 2016
Frank-Wolfe Bayesian Quadrature: Probabilistic Integration with Theoretical Guarantees
NeurIPS 2015
Joint Structure Learning of Multiple Non-Exchangeable Networks
AISTATS 2014