Rui Tuo
7 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (7) π Cross-Pollinator (14)
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(5)
πΊοΈ
Taxonomy Completionist
(19)
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Interdisciplinary Bridge
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Keyword Champion
(2)
Conferences
JMLR (3)
AISTATS (2)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
offline detection
(2)
differential privacy
(2)
change-point detection
(2)
gaussian process
(2)
matern correlation
(2)
online detection
(2)
global optimization
(1)
covariance matrix
(1)
gaussian process regression
(1)
experimental design
(1)
kernel expansion
(1)
sequential optimization
(1)
offline learning
(1)
bayesian optimization
(1)
sequential sampling
(1)
generalization bound
(1)
sequential datum
(1)
confidence region
(1)
kriging prediction
(1)
prediction error bound
(1)
Papers
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
AISTATS 2025
Uncertainty Quantification for Bayesian Optimization
AISTATS 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with MatΓ©rn Correlations
JMLR 2022
Single and Multiple Change-Point Detection with Differential Privacy
JMLR 2021
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
ICML 2020
Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs
JMLR 2020
Differentially Private Change-Point Detection
NIPS 2018