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20162026
most citedA reduced-rank approach to predicting multiple binary responses through machine learning

8 citations · 50 across the 31 of their papers we have counts for

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stat.CO2021★ 4 cited

Efficient Bayesian reduced rank regression using Langevin Monte Carlo approach

The Tien Mai

The problem of Bayesian reduced rank regression is considered in this paper. We propose, for the first time, to use Langevin Monte Carlo method in this problem. A spectral scaled S…