Leo L. Duan

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Gibbs Sampling Using Anti-Correlation Gaussian Data Augmentation, with Applications to L1-Ball-Type Models.
J. Comput. Graph. Stat.
Yu Zheng, Leo L. Duan
2025 J jnl
Graph-accelerated Markov Chain Monte Carlo using Approximate Samples.
J. Mach. Learn. Res.
Leo L. Duan, Anirban Bhattacharya
2023 J jnl
Bayesian Spanning Tree: Estimating the Backbone of the Dependence Graph.
J. Mach. Learn. Res.
Leo L. Duan, David B. Dunson
2023 J jnl
Bayesian Spiked Laplacian Graphs.
J. Mach. Learn. Res.
Leo L. Duan, George Michailidis, Mingzhou Ding
2023 J jnl
Consistent Model-based Clustering using the Quasi-Bernoulli Stick-breaking Process.
J. Mach. Learn. Res.
Cheng Zeng, Jeffrey W. Miller, Leo L. Duan
2023 J jnl
Low Tree-Rank Bayesian Vector Autoregression Models.
J. Mach. Learn. Res.
Leo L. Duan, Zeyu Yuwen, George Michailidis, Zhengwu Zhang
2021 J jnl
Bayesian Distance Clustering.
J. Mach. Learn. Res.
Leo L. Duan, David B. Dunson
2020 J jnl
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification.
J. Mach. Learn. Res.
Leo L. Duan
2019 J jnl
Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification.
CoRR
Leo L. Duan
2019 J jnl
Tuning-Free Disentanglement via Projection.
CoRR
Yue Bai, Leo L. Duan
2018 J jnl
Bayesian Distance Clustering.
CoRR
Leo L. Duan, David B. Dunson
2018 J jnl
Mixed-Stationary Gaussian Process for Flexible Non-Stationary Modeling of Spatial Outcomes.
CoRR
Leo L. Duan, Xia Wang, Rhonda D. Szczesniak
2018 J jnl
Scaling up Data Augmentation MCMC via Calibration.
J. Mach. Learn. Res.
Leo L. Duan, James E. Johndrow, David B. Dunson
2017 J jnl
The Effects of Medication Alerts on Prescriber Response in a Pediatric Hospital.
Appl. Clin. Inform.
Judith W. Dexheimer, Eric S. Kirkendall, Michal Kouril, Philip Hagedorn, Thomas Minich, Leo L. Duan, C. Monifa Mahdi, Rhonda Szczesniak, Stephen Andrew Spooner