Gongjun Xu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 13

Top Topics

Principal Component Regression

Statistical Inference

Random Field Models

Top Venues

J. Mach. Learn. Res.

J. Appl. Probab.

SIAM/ASA J. Uncertain. Quantification

Publications

Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
tinyBenchmarks: evaluating LLMs with fewer examples. CoRR (2024)
Abhinava Barthakur, Jelena Jovanovic, Andrew Zamecnik, Vitomir Kovanovic, Gongjun Xu, Shane Dawson
Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education. LAK (2024)
Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu
Statistical Inference for Noisy Incomplete Binary Matrix. J. Mach. Learn. Res. 24 (2023)
Yuqi Gu, Elena E. Erosheva, Gongjun Xu, David B. Dunson
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data. J. Mach. Learn. Res. 24 (2023)
Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang
Package reReg. J. Stat. Softw. 105 (5) (2023)
Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression. Technometrics 62 (4) (2020)
Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan
A Regularization-Based Adaptive Test for High-Dimensional GLMs. J. Mach. Learn. Res. 21 (2020)
Yuqi Gu, Gongjun Xu
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models. J. Mach. Learn. Res. 20 (2019)
Yuqi Gu, Gongjun Xu
Identification and Estimation of Hierarchical Latent Attribute Models. CoRR (2019)
Xiaoou Li, Gongjun Xu
Uniformly efficient simulation for extremes of Gaussian random fields. J. Appl. Probab. 55 (1) (2018)
Yinqiu He, Gongjun Xu
Estimating tail probabilities of the ratio of the largest eigenvalue to the trace of a Wishart matrix. J. Multivar. Anal. 166 (2018)
Sy Han Chiou, Gongjun Xu
Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling. Stat. Comput. 27 (2) (2017)
Xiaoou Li, Jingchen Liu, Gongjun Xu
On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise. Math. Oper. Res. 41 (1) (2016)
Bodhisattva Sen, Gongjun Xu
Model based bootstrap methods for interval censored data. Comput. Stat. Data Anal. 81 (2015)
Jingchen Liu, Gongjun Xu
Efficient simulations for the exponential integrals of Hölder continuous gaussian random fields. ACM Trans. Model. Comput. Simul. 24 (2) (2014)
Gongjun Xu, Guang Lin, Jingchen Liu
Rare-Event Simulation for the Stochastic Korteweg-de Vries Equation. SIAM/ASA J. Uncertain. Quantification 2 (1) (2014)
Gongjun Xu
Uniformly efficient simulation for tail probabilities of gaussian random fields. WSC (2014)
Jingchen Liu, Gongjun Xu
Rare-event simulations for exponential integrals of smooth Gaussian processes. WSC (2012)