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Evidences of Equal Error Rate Reduction in Biometric Authentication Fusion

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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

Evidences of Equal Error Rate Reduction in Biometric Authentication Fusion

Graph Chatbot

Chat with Graph Search

Distributional Regression and Autoregression via Optimal Transport

Minimax rate for optimal transport regression between distributions

Distribution-on-distribution regression via optimal transport maps

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion

Better Generic Objects Counting When Asking Questions to Images: A Multitask approach for Remote Sensing Visual Question Answering

Functional lagged regression with sparse noisy observations

Methodology And Convergence Rates For Functional Time Series Regression

Data-driven reduced order modeling for time-dependent problems

Smoothing technique for nonsmooth composite minimization with linear operator

Distributional Regression and Autoregression via Optimal Transport

Minimax rate for optimal transport regression between distributions

A Global-Local Approach For Detecting Hotspots In Multiple-Response Regression

Better Generic Objects Counting When Asking Questions to Images: A Multitask approach for Remote Sensing Visual Question Answering

Learning How to Walk: Warm-starting Optimal Control Solver with Memory of Motion

Smoothing technique for nonsmooth composite minimization with linear operator

Methodology And Convergence Rates For Functional Time Series Regression

Data-driven reduced order modeling for time-dependent problems

Distribution-on-distribution regression via optimal transport maps

Functional lagged regression with sparse noisy observations