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Gongjun Xu
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2020 – today
- 2024
- [c3]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: 78-89 - [i2]Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin:
tinyBenchmarks: evaluating LLMs with fewer examples. CoRR abs/2402.14992 (2024) - 2023
- [j13]Yuqi Gu
, Elena E. Erosheva, Gongjun Xu, David B. Dunson:
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data. J. Mach. Learn. Res. 24: 88:1-88:49 (2023) - [j12]Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu:
Statistical Inference for Noisy Incomplete Binary Matrix. J. Mach. Learn. Res. 24: 95:1-95:66 (2023) - [j11]Sy Han Chiou, Gongjun Xu, Jun Yan
, Chiung-Yu Huang:
Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using R Package reReg. J. Stat. Softw. 105(5) (2023) - 2020
- [j10]Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan:
A Regularization-Based Adaptive Test for High-Dimensional GLMs. J. Mach. Learn. Res. 21: 128:1-128:67 (2020) - [j9]Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu:
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression. Technometrics 62(4): 451-455 (2020)
2010 – 2019
- 2019
- [j8]Yuqi Gu
, Gongjun Xu:
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models. J. Mach. Learn. Res. 20: 115:1-115:58 (2019) - [i1]Yuqi Gu, Gongjun Xu:
Identification and Estimation of Hierarchical Latent Attribute Models. CoRR abs/1906.07869 (2019) - 2018
- [j7]Xiaoou Li, Gongjun Xu:
Uniformly efficient simulation for extremes of Gaussian random fields. J. Appl. Probab. 55(1): 157-178 (2018) - [j6]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: 320-334 (2018) - 2017
- [j5]Sy Han Chiou, Gongjun Xu:
Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling. Stat. Comput. 27(2): 483-500 (2017) - 2016
- [j4]Xiaoou Li, Jingchen Liu, Gongjun Xu:
On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise. Math. Oper. Res. 41(1): 236-246 (2016) - 2015
- [j3]Bodhisattva Sen, Gongjun Xu
:
Model based bootstrap methods for interval censored data. Comput. Stat. Data Anal. 81: 121-129 (2015) - 2014
- [j2]Gongjun Xu, Guang Lin, Jingchen Liu:
Rare-Event Simulation for the Stochastic Korteweg-de Vries Equation. SIAM/ASA J. Uncertain. Quantification 2(1): 698-716 (2014) - [j1]Jingchen Liu, Gongjun Xu:
Efficient simulations for the exponential integrals of Hölder continuous gaussian random fields. ACM Trans. Model. Comput. Simul. 24(2): 9:1-9:24 (2014) - [c2]Gongjun Xu:
Uniformly efficient simulation for tail probabilities of gaussian random fields. WSC 2014: 533-542 - 2012
- [c1]Jingchen Liu, Gongjun Xu:
Rare-event simulations for exponential integrals of smooth Gaussian processes. WSC 2012: 36:1-36:10
Coauthor Index
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last updated on 2024-05-24 19:30 CEST by the dblp team
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