205 citations · 822 across the 39 of their papers we have counts for
5 papers · 1 filter
Rate exact Bayesian adaptation with modified block priors
Chao Gao, Harrison H. Zhou
A novel block prior is proposed for adaptive Bayesian estimation. The prior does not depend on the smoothness of the function or the sample size. It puts sufficient prior mass near…
Rate-optimal posterior contraction for sparse PCA
Chao Gao, Harrison H. Zhou
Principal component analysis (PCA) is possibly one of the most widely used statistical tools to recover a low-rank structure of the data. In the high-dimensional settings, the lead…
Sparse CCA via Precision Adjusted Iterative Thresholding
Mengjie Chen, Chao Gao, Zhao Ren +1
Sparse Canonical Correlation Analysis (CCA) has received considerable attention in high-dimensional data analysis to study the relationship between two sets of random variables. Ho…
Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels
Chao Gao, Dengyong Zhou
Crowdsourcing has become a primary means for label collection in many real-world machine learning applications. A classical method for inferring the true labels from the noisy labe…
Posterior Contraction Rates of the Phylogenetic Indian Buffet Processes
Mengjie Chen, Chao Gao, Hongyu Zhao
By expressing prior distributions as general stochastic processes, nonparametric Bayesian methods provide a flexible way to incorporate prior knowledge and constrain the latent str…