Aviv A Rosenberg — accepted AI-conference papers

2024

Vector Quantile Regression on Manifolds

Marco Pegoraro, Sanketh Vedula, Aviv A Rosenberg, Irene Tallini, Emanuele Rodola, Alex Bronstein

AISTATS 2024poster

Quantile regression (QR) is a statistical tool for distribution-free estimation of conditional quantiles of a target variable given explanatory features. QR is limited by the assumption that the target distribution is univariate and defined on an Euclidean domain. Although the notion of quantiles wa…

Cited by 2 Source ↗PDF ↗code ↗Scholar ↗

2023

Fast Nonlinear Vector Quantile Regression

Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alexander Bronstein

ICLR 2023poster

$$ \newcommand{\rvar}[1]{\mathrm {#1}} \newcommand{\rvec}[1]{\boldsymbol{\mathrm{#1}}} $$ Quantile regression (QR) is a powerful tool for estimating one or more conditional quantiles of a target variable $\rvar{Y}$ given explanatory features $\rvec{X}$. A limitation of QR is that it is only defined…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗