4 citations · 6 across the 2 of their papers we have counts for
3 papers
stat.ML2020★ 2 cited
Bridging Cost-sensitive and Neyman-Pearson Paradigms for Asymmetric Binary Classification
Wei Vivian Li, Xin Tong, Jingyi Jessica Li
Asymmetric binary classification problems, in which the type I and II errors have unequal severity, are ubiquitous in real-world applications. To handle such asymmetry, researchers…
stat.ME2018
Generalized Pearson correlation squares for capturing mixtures of bivariate linear dependences
Jingyi Jessica Li, Xin Tong, Peter J. Bickel
Motivated by the pressing needs for capturing complex but interpretable variable relationships in scientific research, here we generalize the squared Pearson correlation to capture…
cs.SI2017★ 4 cited
Matched bipartite block model with covariates
Zahra S. Razaee, Arash A. Amini, Jingyi Jessica Li
Community detection or clustering is a fundamental task in the analysis of network data. Many real networks have a bipartite structure which makes community detection challenging.…