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Department of Pure Mathematics and Mathematical Statistics


Latent Model-Based Clustering for Biological Discovery.
X Bing, F Bunea, M Royer, J Das
– iScience
Inference in latent factor regression with clusterable features
X Bing, F Bunea, M Wegkamp
Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations
X Bing, F Bunea, S Strimas-Mackey, M Wegkamp
Adaptive estimation of the rank of the coefficient matrix in high dimensional multivariate response regression models
X Bing, M Wegkamp
Adaptive Estimation in Structured Factor Models with Applications to Overlapping Clustering
X Bing, F Bunea, Y Ning, M Wegkamp
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics
X Bing, F Bunea, M Wegkamp
Optimal estimation of sparse topic models
X Bing, F Bunea, M Wegkamp
Adaptive Estimation in Multivariate Response Regression with Hidden Variables
X Bing, Y Ning, Y Xu
Detecting approximate replicate components of a high-dimensional random vector with latent structure
X Bing, F Bunea, M Wegkamp




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