Gongjun Xu

22 papers A* 1A 1Misc 2Journal 18
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Latent Variable Framework for Scaling Laws in Large Language Models.
CoRR
Peiyao Cai, Chengyu Cui, Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun, Kean Ming Tan, Gongjun Xu
2025 J jnl
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap.
CoRR
Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun
2024 A conf
Towards Comprehensive Monitoring of Graduate Attribute Development: A Learning Analytics Approach in Higher Education.
LAK
Abhinava Barthakur, Jelena Jovanovic, Andrew Zamecnik, Vitomir Kovanovic, Gongjun Xu, Shane Dawson
2024 A* conf
tinyBenchmarks: evaluating LLMs with fewer examples.
ICML
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
2024 J jnl
tinyBenchmarks: evaluating LLMs with fewer examples.
CoRR
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
2023 J jnl
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data.
J. Mach. Learn. Res.
Yuqi Gu, Elena E. Erosheva, Gongjun Xu, David B. Dunson
2023 J jnl
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding.
J. Mach. Learn. Res.
Jing Ouyang, Kean Ming Tan, Gongjun Xu
2023 J jnl
Regression Modeling for Recurrent Events Possibly with an Informative Terminal Event Using
J. Stat. Softw.
Sy Han Chiou, Gongjun Xu, Jun Yan, Chiung-Yu Huang
2023 J jnl
Statistical Inference for Noisy Incomplete Binary Matrix.
J. Mach. Learn. Res.
Yunxiao Chen, Chengcheng Li, Jing Ouyang, Gongjun Xu
2020 J jnl
A Regularization-Based Adaptive Test for High-Dimensional GLMs.
J. Mach. Learn. Res.
Chong Wu, Gongjun Xu, Xiaotong Shen, Wei Pan
2020 J jnl
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression.
Technometrics
Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu
2019 J jnl
Identification and Estimation of Hierarchical Latent Attribute Models.
CoRR
Yuqi Gu, Gongjun Xu
2019 J jnl
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models.
J. Mach. Learn. Res.
Yuqi Gu, Gongjun Xu
2018 J jnl
Estimating tail probabilities of the ratio of the largest eigenvalue to the trace of a Wishart matrix.
J. Multivar. Anal.
Yinqiu He, Gongjun Xu
2018 J jnl
Uniformly efficient simulation for extremes of Gaussian random fields.
J. Appl. Probab.
Xiaoou Li, Gongjun Xu
2017 J jnl
Rank-based estimation for semiparametric accelerated failure time model under length-biased sampling.
Stat. Comput.
Sy Han Chiou, Gongjun Xu
2016 J jnl
On the Tail Probabilities of Aggregated Lognormal Random Fields with Small Noise.
Math. Oper. Res.
Xiaoou Li, Jingchen Liu, Gongjun Xu
2015 J jnl
Model based bootstrap methods for interval censored data.
Comput. Stat. Data Anal.
Bodhisattva Sen, Gongjun Xu
2014 J jnl
Efficient simulations for the exponential integrals of Hölder continuous gaussian random fields.
ACM Trans. Model. Comput. Simul.
Jingchen Liu, Gongjun Xu
2014 J jnl
Rare-Event Simulation for the Stochastic Korteweg-de Vries Equation.
SIAM/ASA J. Uncertain. Quantification
Gongjun Xu, Guang Lin, Jingchen Liu
2014 Misc conf
Uniformly efficient simulation for tail probabilities of gaussian random fields.
WSC
Gongjun Xu
2012 Misc conf
Rare-event simulations for exponential integrals of smooth Gaussian processes.
WSC
Jingchen Liu, Gongjun Xu