4 citations · 5 across the 3 of their papers we have counts for
3 papers
stat.ML2024
A sparse PAC-Bayesian approach for high-dimensional quantile prediction
The Tien Mai
Quantile regression, a robust method for estimating conditional quantiles, has advanced significantly in fields such as econometrics, statistics, and machine learning. In high-dime…
stat.AP2024★ 1 cited
Tracking and classifying objects with DAS data along railway
Simon L. B. Fredriksen, The Tien Mai, Kevin Growe +1
Distributed acoustic sensing through fiber-optical cables can contribute to traffic monitoring systems. Using data from a day of field testing on a 50 km long fiber-optic cable alo…
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…