Rui Tuo
7 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(5)
Bayesian & Probabilistic · Machine Learning
(4)
Mathematics & Optimization
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types
(2)
Methods
(2)
Optimization
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Security & Privacy
(1)
Architectures
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
gaussian process
(3)
matern correlation
(2)
differential privacy
(2)
online detection
(2)
offline detection
(2)
change point detection
(2)
deep kernel learning
(1)
kernel approximation
(1)
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 data
(1)
confidence region
(1)
Papers
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
AISTATS 2025
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
JMLR 2022
Uncertainty Quantification for Bayesian Optimization
AISTATS 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
NeurIPS 2018