1 citations · 1 across the 3 of their papers we have counts for
3 papers
Wasserstein Least Squares: A Canonical Regression Method for Probability Distributions
Uriel Martínez León, Jonathan Niles-Weed
We perform a mathematical and statistical analysis of the Wasserstein least squares problem, a regression method for vector-valued covariates and distribution-valued responses. Our…
Perturbation Analysis of Neural Collapse
Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed
Training deep neural networks for classification often includes minimizing the training loss beyond the zero training error point. In this phase of training, a "neural collapse" be…
The multirank likelihood for semiparametric canonical correlation analysis
Jordan G. Bryan, Jonathan Niles-Weed, Peter D. Hoff
Many analyses of multivariate data focus on evaluating the dependence between two sets of variables, rather than the dependence among individual variables within each set. Canonica…