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Functional registration and local variations: Identifiability, rank, and tuning

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Discrete stochastic heat equation driven by fractional noise

Kamran Kalbasi

We consider the parabolic Anderson model on

\mathbb{Z}^d

driven by fractional noise. We prove that it has a mild solution given by Feynman-Kac representation which coincides with the partition function of a directed polymer in a fractional Brownian envir ...

EPFL2014

Functional registration and local variations: Identifiability, rank, and tuning

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Chat with Graph Search

A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators

Hybrid regularisation and the (in)admissibility of ridge regression in infinite dimensional Hilbert spaces

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Residual-based a posteriori error estimation for contact problems approximated by Nitsche's method

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

Method to determine the distribution of temperature sensors

Discrete stochastic heat equation driven by fractional noise

MAP Estimators for Self-Similar Sparse Stochastic Models

A reflected forward-backward splitting method for monotone inclusions involving Lipschitzian operators

Residual-based a posteriori error estimation for contact problems approximated by Nitsche's method

Designing Statistical Estimators That Balance Sample Size, Risk, and Computational Cost

Hybrid regularisation and the (in)admissibility of ridge regression in infinite dimensional Hilbert spaces

Discrete stochastic heat equation driven by fractional noise

Averaging Stochastic Gradient Descent on Riemannian Manifolds

Method to determine the distribution of temperature sensors

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

MAP Estimators for Self-Similar Sparse Stochastic Models