Publications associées à Transportation-based functional ANOVA and PCA for covariance operators

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Convergence of adaptive algorithms for constrained weakly convex optimization

Volkan Cevher, Ahmet Alacaoglu, Yurii Malitskyi

We analyze the adaptive first order algorithm AMSGrad, for solving a constrained stochastic optimization problem with a weakly convex objective. We prove the

\tilde O(t^{-1/2})

rate of convergence for the squared norm of the gradient of Moreau envelope, ...

2021

Transportation-based functional ANOVA and PCA for covariance operators

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Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

Testing For The Rank Of A Covariance Operator

CovNet: Covariance networks for functional data on multidimensional domains

Covariance Estimation for Random Surfaces beyond Separability

A Characterisation Of The Continuum Gaussian Free Field In Arbitrary Dimensions

Euclid : Effects of sample covariance on the number counts of galaxy clusters

Convergence of adaptive algorithms for constrained weakly convex optimization

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study

Certified And Fast Computations With Shallow Covariance Kernels

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

Strategy to validate sensor-placement methodologies in the context of sparse measurement in complex urban systems

CovNet: Covariance networks for functional data on multidimensional domains

Euclid : Effects of sample covariance on the number counts of galaxy clusters

Certified And Fast Computations With Shallow Covariance Kernels

A Characterisation Of The Continuum Gaussian Free Field In Arbitrary Dimensions

Covariance Estimation for Random Surfaces beyond Separability

Testing For The Rank Of A Covariance Operator

Homogenization results for the generator of multiscale Langevin dynamics in weighted Sobolev spaces

Convergence of adaptive algorithms for constrained weakly convex optimization

NovelT2Mapping for Evaluating Cervical Cancer Features by Providing QuantitativeT2Maps and Synthetic Morphologic Images: A Preliminary Study