8 citations · 13 across the 5 of their papers we have counts for
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cs.LG2022★ 2 cited
Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data
Zongyu Dai, Zhiqi Bu, Qi Long
Missing data are ubiquitous in real world applications and, if not adequately handled, may lead to the loss of information and biased findings in downstream analysis. Particularly,…
cs.LG2021★ 3 cited
Multiple Imputation via Generative Adversarial Network for High-dimensional Blockwise Missing Value Problems
Zongyu Dai, Zhiqi Bu, Qi Long
Missing data are present in most real world problems and need careful handling to preserve the prediction accuracy and statistical consistency in the downstream analysis. As the go…
cs.LG2021★ 8 cited
On the Convergence and Calibration of Deep Learning with Differential Privacy
Zhiqi Bu, Hua Wang, Zongyu Dai +1
Differentially private (DP) training preserves the data privacy usually at the cost of slower convergence (and thus lower accuracy), as well as more severe mis-calibration than its…