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An adaptive filter robust to data uncertainties

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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

An adaptive filter robust to data uncertainties

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Chat with Graph Search

Distributional Regression and Autoregression via Optimal Transport

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

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

Adaptive Fingers Coordination for Robust Grasp and In-Hand Manipulation Under Disturbances and Unknown Dynamics

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Distribution-on-distribution regression via optimal transport maps

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Gaussian Process Regression for Materials and Molecules

Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Reliable uncertainties: Error correlation, rotated error bars, and linear regressions in three-isotope plots and beyond

Distributional Regression and Autoregression via Optimal Transport

Adaptive Fingers Coordination for Robust Grasp and In-Hand Manipulation Under Disturbances and Unknown Dynamics

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Distribution-on-distribution regression via optimal transport maps

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

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Gaussian Process Regression for Materials and Molecules

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Model Based Navigation of Delta-Wing UAV - In-Flight Calibration and Autonomous Performance