Chris J. Oates
8 papers · 2017–2025 · 3 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (3) ๐ Academic Marathon (8) ๐ Cross-Pollinator (13)
๐บ๏ธ
Taxonomy Completionist
(19)
๐ฃ
Hot Topic Early Bird
Conferences
JMLR (5)
AISTATS (2)
ICML (1)
Top co-authors
Keywords
uncertainty quantification
(3)
bayesian inference
(2)
probabilistic modeling
(1)
manifold regularization
(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 likelihood estimation
(1)
prior distribution
(1)
structure estimation
(1)
numerical integration
(1)
linear system
(1)
bayesian neural network
(1)
predictive distribution
(1)
iterative method
(1)
covariance function
(1)
Papers
Reinforcement Learning for Adaptive MCMC
AISTATS 2025
Prediction-Centric Uncertainty Quantification via MMD
AISTATS 2025
Maximum likelihood estimation in Gaussian process regression is ill-posed
JMLR 2023
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
The Ridgelet Prior: A Covariance Function Approach to Prior Specification for Bayesian Neural Networks
JMLR 2021
Probabilistic Iterative Methods for Linear Systems
JMLR 2021
Causal Learning via Manifold Regularization
JMLR 2019
On the Sampling Problem for Kernel Quadrature
ICML 2017