9 citations · 11 across the 4 of their papers we have counts for
4 papers
Soft-SVM Regression For Binary Classification
Man Huang, Luis Carvalho
The binomial deviance and the SVM hinge loss functions are two of the most widely used loss functions in machine learning. While there are many similarities between them, they also…
Deviance Matrix Factorization
Liang Wang, Luis Carvalho
We investigate a general matrix factorization for deviance-based data losses, extending the ubiquitous singular value decomposition beyond squared error loss. While similar approac…
An Expectation-Maximization Algorithm for the Matrix Normal Distribution
Hunter Glanz, Luis Carvalho
Dramatic increases in the size and dimensionality of many recent data sets make crucial the need for sophisticated methods that can exploit inherent structure and handle missing va…
A Bayesian Statistical Approach for Inference on Static Origin-Destination Matrices
Luis Carvalho
We address the problem of static OD matrix estimation from a formal statistical viewpoint. We adopt a novel Bayesian framework to develop a class of models that explicitly cast tri…