1 citations · 1 across the 4 of their papers we have counts for
4 papers
Misclassification excess risk bounds for PAC-Bayesian classification via convexified loss
The Tien Mai
PAC-Bayesian bounds have proven to be a valuable tool for deriving generalization bounds and for designing new learning algorithms in machine learning. However, it typically focus…
On properties of fractional posterior in generalized reduced-rank regression
The Tien Mai
Reduced rank regression (RRR) is a widely employed model for investigating the linear association between multiple response variables and a set of predictors. While RRR has been ex…
On high-dimensional classification by sparse generalized Bayesian logistic regression
The Tien Mai
This work addresses the problem of high-dimensional classification by exploring the generalized Bayesian logistic regression method under a sparsity-inducing prior distribution. Th…
A practical and efficient approach for Bayesian reservoir inversion: Insights from the Alvheim field data
Karen S Auestad, The Tien Mai, Mina Spremic +1
Stochastic reservoir characterization, a critical aspect of subsurface exploration for oil and gas reservoirs, relies on stochastic methods to model and understand subsurface prope…