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Fast Automatic Smoothing for Generalized Additive Models

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Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Fast Automatic Smoothing for Generalized Additive Models

Graph Chatbot

Chattez avec Graph Search

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Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

Bayes-optimal Learning of Deep Random Networks of Extensive-width

Minimax rate for optimal transport regression between distributions

On Approximations of Data-Driven Chance Constrained Programs over Wasserstein Balls

Seebeck Coefficient of Ionic Conductors from Bayesian Regression Analysis

Small area vulnerability, household food insecurity and child malnutrition in Medellin, Colombia: results from a repeated cross-sectional study

Daily Contributors of Tinnitus Loudness and Distress: An Ecological Momentary Assessment Study

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Regularized Diffusion Adaptation via Conjugate Smoothing