7 citations · 15 across the 6 of their papers we have counts for
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cs.LG2021★ 4 cited
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability
Qiyiwen Zhang, Zhiqi Bu, Kan Chen +1
Bayesian neural network (BNN) allows for uncertainty quantification in prediction, offering an advantage over regular neural networks that has not been explored in the differential…
math.ST2021
Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm
Kan Chen, Zhiqi Bu, Shiyun Xu
Sparse Group LASSO (SGL) is a regularized model for high-dimensional linear regression problems with grouped covariates. SGL applies and penalties on the individual pre…
stat.ME2021
Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies
Kan Chen, Siyu Heng, Qi Long +1
One central goal of design of observational studies is to embed non-experimental data into an approximate randomized controlled trial using statistical matching. Despite empirical…