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Publications associées (32)

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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

M-estimateur

Graph Chatbot

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Reliable data-driven decision-making through optimal transport

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

OASIS: An integrated optimisation framework for activity scheduling

Causal inference with recurrent and competing events

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Distributional Regression and Autoregression via Optimal Transport

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

Regularization for distributionally robust state estimation and prediction

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium

Reliable data-driven decision-making through optimal transport

OASIS: An integrated optimisation framework for activity scheduling

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Unbiased likelihood-based estimation of Wright-Fisher diffusion processes

Robust Estimation of the Microstructure of the Early Developing Brain Using Deep Learning

Distributional Regression and Autoregression via Optimal Transport

Regularization for distributionally robust state estimation and prediction

Causal inference with recurrent and competing events