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math.ST2025
Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models
Xin Bing, Dehan Kong, Bingqing Li
Gaussian mixture models (GMMs) are fundamental statistical tools for modeling heterogeneous data. Due to the nonconcavity of the likelihood function, the Expectation-Maximization (…
cs.LG2025
Federated Independent Component Analysis via Spectral Alignment and Robust Aggregation
Dian Jin, Xin Bing, Yuqian Zhang
This paper studies robust estimation for Independent Component Analysis (ICA) in the federated learning setting, where data are locally distributed across clients and may exhibit s…
stat.ME2025
High-Dimensional Invariant Tests of Multivariate Normality Based on Radial Concentration
Xin Bing, Derek Latremouille
While the problem of testing multivariate normality has received considerable attention in the classical low-dimensional setting where the sample size is much larger than the f…