research
∙
05/17/2023
Cold PAWS: Unsupervised class discovery and the cold-start problem
In many machine learning applications, labeling datasets can be an arduo...
share
research
∙
01/24/2023
R2D2 goes to space! A principled approach to setting prior distributions on spatial parameters
Spatially dependent data arises in many biometric applications, and Gaus...
research
∙
11/21/2021
The R2D2 Prior for Generalized Linear Mixed Models
In Bayesian analysis, the selection of a prior distribution is typically...
research
∙
10/21/2020
Conditional Density Estimation via Weighted Logistic Regressions
Compared to the conditional mean as a simple point estimator, the condit...
research
∙
10/21/2020
On Robust Probabilistic Principal Component Analysis using Multivariate t-Distributions
Principal Component Analysis (PCA) is a common multivariate statistical ...
research
∙
08/17/2020
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting
Short-term forecasting is an important tool in understanding environment...
research
∙
03/14/2019