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Ruobin Gong
Ruobin Gong
Assistant Professor of Statistics, Rutgers University
Verified email at stat.rutgers.edu
Title
Cited by
Cited by
Year
Judicious Judgment Meets Unsettling Updating: Dilation, Sure Loss and Simpson’s Paradox
R Gong, XL Meng
Statistical Science 36 (2), 169-190, 2021
45*2021
Exact Inference with Approximate Computation for Differentially Private Data via Perturbations
R Gong
Journal of Privacy and Confidentiality 12 (2), 2022
292022
Congenial Differential Privacy under Mandated Disclosure
R Gong, XL Meng
Proceedings of the 2020 ACM-IMS on Foundations of Data Science Conference, 59-70, 2020
282020
Transparent Privacy is Principled Privacy
R Gong
Harvard Data Science Review, 2022
222022
Data augmentation MCMC for bayesian inference from privatized data
N Ju, J Awan, R Gong, V Rao
Advances in neural information processing systems 35, 12732-12743, 2022
162022
A Gibbs sampler for a class of random convex polytopes
PE Jacob, R Gong, PT Edlefsen, AP Dempster
Journal of the American Statistical Association 116 (535), 1181-1192, 2021
152021
Subspace differential privacy
J Gao, R Gong, FY Yu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3986-3995, 2022
142022
Dynamic precise and imprecise probability kinematics
M Caprio, R Gong
International Symposium on Imprecise Probability: Theories and Applications …, 2023
82023
A data-driven framework for identifying high school students at risk of not graduating on time
RA Johnson, R Gong, S Greatorex-Voith, A Anand, A Fritzler
Bloomberg Data for Good Exchange Conf 5, 2015
82015
Harnessing the Known Unknowns: Differential Privacy and the 2020 Census
R Gong, EL Groshen, S Vadhan
Harvard Data Science Review, 2022
72022
Six Statistical Senses
RV Craiu, R Gong, XL Meng
Annual Review of Statistics and Its Application 10, 699-725, 2023
52023
Integer subspace differential privacy
P Dharangutte, J Gao, R Gong, FY Yu
Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7349-7357, 2023
42023
Simultaneous Inference Under the Vacuous Orientation Assumption
R Gong
PMLR 103, 225-234, 2019
32019
Can Swapping be Differentially Private? A Refreshment Stirred, not Shaken
J Bailie, R Gong, XL Meng
22023
Differential Privacy: General Inferential Limits via Intervals of Measures
J Bailie, R Gong
International Symposium on Imprecise Probability: Theories and Applications, 2023
22023
Learning and total evidence with imprecise probabilities
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern
International Journal of Approximate Reasoning 151, 21-32, 2022
22022
Deceptive Credences
R Gong, JB Kadane, MJ Schervish, T Seidenfeld, RB Stern
Ergo 7, 2021
22021
Geometric Conditions for the Discrepant Posterior Phenomenon and Connections to Simpson's Paradox
Y Chen, R Gong, M Xie
arXiv preprint arXiv:2001.08336, 2020
22020
Low-resolution Statistical Modeling with Belief Functions
R Gong
PQDT-Global, 2018
22018
Informational richness and its impact on algorithmic fairness
M Di Bello, R Gong
Philosophical Studies, 1-29, 2023
12023
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