313 citations · 414 across the 14 of their papers we have counts for
19 papers
means with learned metrics
Pablo Groisman, Matthieu Jonckheere, Jordan Serres +1
We study the Fréchet means of a metric measure space when both the measure and the distance are unknown and have to be estimated. We prove a general result that states that the…
Threshold detection under a semiparametric regression model
Graciela Boente, Florencia Leonardi, Daniela Rodriguez +1
Linear regression models have been extensively considered in the literature. However, in some practical applications they may not be appropriate all over the range of the covariate…
Asymptotic results for nonparametric regression estimators after sufficient dimension reduction estimation
Liliana Forzani, Daniela Rodriguez, Mariela Sued
Prediction, in regression and classification, is one of the main aims in modern data science. When the number of predictors is large, a common first step is to reduce the dimension…
Each student with her/his own data: understanding sampling distributions
Mariela Sued, Marina Valdora
Sampling distribution, a foundational concept in statistics, is difficult to understand, since we usually have only one realization of the estimator of interest. In this work, we p…
Double-robust and efficient methods for estimating the causal effects of a binary treatment
James Robins, Mariela Sued, Quanhong Lei-Gomez +1
We consider the problem of estimating the effects of a binary treatment on a continuous outcome of interest from observational data in the absence of confounding by unmeasured fact…
On semi-supervised learning
Alejandro Cholaquidis, Ricardo Fraiman, Mariela Sued
Semi-supervised learning deals with the problem of how, if possible, to take advantage of a huge amount of unclassified data, to perform a classification in situations when, typica…