Tuo, Rui

7 publications

AISTATS 2025 From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation Wenyuan Zhao, Haoyuan Chen, Tie Liu, Rui Tuo, Chao Tian

AISTATS 2022 Uncertainty Quantification for Bayesian Optimization Rui Tuo, Wenjia Wang

JMLR 2022 Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations Haoyuan Chen, Liang Ding, Rui Tuo

JMLR 2021 Single and Multiple Change-Point Detection with Differential Privacy Wanrong Zhang, Sara Krehbiel, Rui Tuo, Yajun Mei, Rachel Cummings

ICML 2020 Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features Liang Ding, Rui Tuo, Shahin Shahrampour

JMLR 2020 Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs Rui Tuo, Wenjia Wang

NeurIPS 2018 Differentially Private Change-Point Detection Rachel Cummings, Sara Krehbiel, Yajun Mei, Rui Tuo, Wanrong Zhang