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Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

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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

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

Graph Chatbot

Chattez avec Graph Search

Extensions of Peer Prediction Incentive Mechanisms

Partial discharge localization in power transformer tanks using machine learning methods

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Resource aware pricing for electric vehicle charging

Peak Value-at-Risk Estimation for Stochastic Differential Equations using Occupation Measures

Information Spectrum Converse for Minimum Entropy Couplings and Functional Representations

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Distributional Regression and Autoregression via Optimal Transport

Regularization for distributionally robust state estimation and prediction

Stochastic particle transport by deep-water irregular breaking waves

Extensions of Peer Prediction Incentive Mechanisms

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Information Spectrum Converse for Minimum Entropy Couplings and Functional Representations

Partial discharge localization in power transformer tanks using machine learning methods

Resource aware pricing for electric vehicle charging

Stochastic particle transport by deep-water irregular breaking waves

Peak Value-at-Risk Estimation for Stochastic Differential Equations using Occupation Measures

Euclid preparation: XXVIII. Forecasts for ten different higher-order weak lensing statistics

Distributional Regression and Autoregression via Optimal Transport

Regularization for distributionally robust state estimation and prediction