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06/09/2023
A reduced-rank approach to predicting multiple binary responses through machine learning
This paper investigates the problem of simultaneously predicting multipl...
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10/27/2022
From bilinear regression to inductive matrix completion: a quasi-Bayesian analysis
In this paper we study the problem of bilinear regression and we further...
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10/17/2022
On a low-rank matrix single index model
In this paper, we present a theoretical study of a low-rank matrix singl...
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08/09/2022
Inferring the heritability of bacterial traits in the era of machine learning
Quantification of heritability is a fundamental aim in genetics, providi...
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06/17/2022
Optimal quasi-Bayesian reduced rank regression with incomplete response
The aim of reduced rank regression is to connect multiple response varia...
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08/12/2021
Understanding the population structure correction regression
Although genome-wide association studies (GWAS) on complex traits have a...
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06/01/2021
Efficient adaptive MCMC implementation for Pseudo-Bayesian quantum tomography
We revisit the Pseudo-Bayesian approach to the problem of estimating den...
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04/16/2021
Bayesian matrix completion with a spectral scaled Student prior: theoretical guarantee and efficient sampling
We study the problem of matrix completion in this paper. A spectral scal...
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03/22/2021
Numerical comparisons between Bayesian and frequentist low-rank matrix completion: estimation accuracy and uncertainty quantification
In this paper we perform a numerious numerical studies for the problem o...
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02/25/2021
On continual single index learning
In this paper, we generalize the problem of single index model to the co...
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02/15/2021
Efficient Bayesian reduced rank regression using Langevin Monte Carlo approach
The problem of Bayesian reduced rank regression is considered in this pa...
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10/25/2019
Boosting heritability: estimating the genetic component of phenotypic variation with multiple sample splitting
Heritability is a central measure in genetics quantifying how much of th...
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04/30/2019
Composite local low-rank structure in learning drug sensitivity
The molecular characterization of tumor samples by multiple omics data s...
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10/27/2016
