Gongjun Xu

According to our database, Gongjun Xu authored at least 19 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education.

Abhinava Barthakur, Jelena Jovanovic, Andrew Zamecnik, Vitomir Kovanovic, Gongjun Xu, Shane Dawson

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

tinyBenchmarks: evaluating LLMs with fewer examples.

Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using <i>R</i> Package reReg.

Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang

J. Stat. Softw., 2023

High-Dimensional Inference for Generalized Linear Models with Hidden Confounding.

Jing Ouyang, Kean Ming Tan, Gongjun Xu

J. Mach. Learn. Res., 2023

Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data.

Yuqi Gu, Elena E. Erosheva, Gongjun Xu, David B. Dunson

J. Mach. Learn. Res., 2023

Statistical Inference for Noisy Incomplete Binary Matrix.

Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu

J. Mach. Learn. Res., 2023

2020

Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression.

Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu

Technometrics, 2020

A Regularization-Based Adaptive Test for High-Dimensional GLMs.

Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan

J. Mach. Learn. Res., 2020

2019

Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models.

Yuqi Gu, Gongjun Xu

J. Mach. Learn. Res., 2019

Identification and Estimation of Hierarchical Latent Attribute Models.

Yuqi Gu, Gongjun Xu

CoRR, 2019

2018

Estimating tail probabilities of the ratio of the largest eigenvalue to the trace of a Wishart matrix.

Yinqiu He, Gongjun Xu

J. Multivar. Anal., 2018

Uniformly efficient simulation for extremes of Gaussian random fields.

Xiaoou Li, Gongjun Xu

J. Appl. Probab., 2018

2017

Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling.

Sy Han Chiou, Gongjun Xu

Stat. Comput., 2017

2016

On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise.

Xiaoou Li, Jingchen Liu, Gongjun Xu

Math. Oper. Res., 2016

2015

Model based bootstrap methods for interval censored data.

Bodhisattva Sen, Gongjun Xu

Comput. Stat. Data Anal., 2015

2014

Efficient simulations for the exponential integrals of Hölder continuous gaussian random fields.

Jingchen Liu, Gongjun Xu

ACM Trans. Model. Comput. Simul., 2014

Rare-Event Simulation for the Stochastic Korteweg-de Vries Equation.

Gongjun Xu, Guang Lin, Jingchen Liu

SIAM/ASA J. Uncertain. Quantification, 2014

Uniformly efficient simulation for tail probabilities of gaussian random fields.

Gongjun Xu

Proceedings of the 2014 Winter Simulation Conference, 2014

2012

Rare-event simulations for exponential integrals of smooth Gaussian processes.

Jingchen Liu, Gongjun Xu

Proceedings of the Winter Simulation Conference, 2012