Chris J. Oates
8 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 · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(5)
Learning Types
(5)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Core Methods
(2)
Mathematics
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Methods
(1)
Optimization & Theory · Deep Learning
(1)
Probability
(1)
Keywords
uncertainty quantification
(4)
bayesian inference
(3)
semi-supervised learning
(1)
probabilistic modeling
(1)
manifold regularization
(1)
model misspecification
(1)
policy gradient
(1)
markov chain monte carlo
(1)
gaussian process
(1)
importance sampling
(1)
hypothesis testing
(1)
probability distribution
(1)
sequential monte carlo
(1)
gaussian process regression
(1)
causal structure
(1)
maximum mean discrepancy
(1)
maximum likelihood estimation
(1)
prior distribution
(1)
structure estimation
(1)
numerical integration
(1)
Papers
Prediction-Centric Uncertainty Quantification via MMD
AISTATS 2025
Reinforcement Learning for Adaptive MCMC
AISTATS 2025
Maximum likelihood estimation in Gaussian process regression is ill-posed
JMLR 2023
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
Probabilistic Iterative Methods for Linear Systems
JMLR 2021
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks
JMLR 2021
Causal Learning via Manifold Regularization
JMLR 2019
On the Sampling Problem for Kernel Quadrature
ICML 2017