← Authors

Rui Tuo

7 papers · 2018–2025 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (19) πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2)

Conferences

JMLR (3) AISTATS (2) ICML (1) NIPS (1)

Top co-authors

Liang Ding (2) Wanrong Zhang (2) Sara Krehbiel (2) Wenjia Wang (2) Yajun Mei (2) Rachel Cummings (2) Haoyuan Chen (2) Wenyuan Zhao (1) Shahin Shahrampour (1) Tie Liu (1)

Research topics

Differential Privacy (1) Statistics (1)

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