Jun Zhu
21 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0003-2401-7096
Department of Risk and Insurance, Wisconsin School of Business, University of Wisconsin-Madison
Publications
- Hierarchical dependence modeling for the analysis of large insurance claims data — The Annals of Applied Statistics 2024
- Optimal Learning Policies for Differential Privacy in Multi-armed Bandits — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes — Journal of Machine Learning Research 2024 (name-matched, not ORCID-linked)
- Efficient Inference for Dynamic Flexible Interactions of Neural Populations — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- Tianshou: A Highly Modularized Deep Reinforcement Learning Library — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
- A latent discrete Markov random field approach to identifying and classifying historical forest communities based on spatial multivariate tree species counts — The Annals of Applied Statistics 2019 (name-matched, not ORCID-linked)
- Static and roving sensor data fusion for spatio-temporal hazard mapping with application to occupational exposure assessment — The Annals of Applied Statistics 2017
- Online Bayesian Passive-Aggressive Learning — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
- Gibbs Max-margin Topic Models with Data Augmentation — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
- Bayesian Inference with Posterior Regularization and Applications to Infinite Latent SVMs — Journal of Machine Learning Research 2014 (name-matched, not ORCID-linked)
- On semiparametric inference of geostatistical models via local Karhunen–Loève expansion — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
- MedLDA: Maximum Margin Supervised Topic Models — Journal of Machine Learning Research 2012 (name-matched, not ORCID-linked)
- Penalized maximum likelihood estimation and variable selection in geostatistics — The Annals of Statistics 2011
- On selection of spatial linear models for lattice data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2010
- Nonparametric Bayesian inference for the spectral density function of a random field — Biometrika 2010
- Maximum Entropy Discrimination Markov Networks — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
- Dynamic Hierarchical Markov Random Fields for Integrated Web Data Extraction — Journal of Machine Learning Research 2008 (name-matched, not ORCID-linked)
- Spatial-Temporal Modeling of Forest Gaps Generated by Colonization From Below- and Above-Ground Bark Beetle Species — Journal of the American Statistical Association 2008
- Continuous time modelling of dynamical spatial lattice data observed at sparsely distributed times — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2007
- Resampling methods for spatial regression models under a class of stochastic designs — The Annals of Statistics 2006
- Statistical Methods for Spatial Data Analysis — Journal of the American Statistical Association 2006