Publications associées à Low Rank Updates for the Cholesky Decomposition

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Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Michaël Unser, Julien René Pierre Fageot, Harshit Gupta

We present a theoretical analysis and comparison of the effect of

ℓ _{ 1 }

versus

ℓ _{ 2 }

regularization for the resolution of ill-posed linear inverse and/or compressed sensing problems. Our formulation covers the most general setting where the s ...

IEEE2016

Low Rank Updates for the Cholesky Decomposition

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MATHICSE Technical Report : Bounds for the decay of the entries in inverses and Cauchy- Stieltjes functions of sparse, normal matrices

MATHICSE Technical Report : Fast computation of the matrix exponential for a Toeplitz matrix

Parallel algorithms for tensor completion in the CP format

Randomized Single-View Algorithms for Low-Rank Matrix Approximation

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

A block algorithm for computing antitriangular factorizations of symmetric matrices

Programming with Numerical Uncertainties

Evaluating functions of positive-definite matrices using colored-noise thermostats

Aggressively Truncated Taylor Series Method For Accurate Computation Of Exponentials Of Essentially Nonnegative Matrices

Low-Rank Tensor Methods for Communicating Markov Processes

A block algorithm for computing antitriangular factorizations of symmetric matrices

Low-Rank Tensor Methods for Communicating Markov Processes

Parallel algorithms for tensor completion in the CP format

Randomized Single-View Algorithms for Low-Rank Matrix Approximation

Representer Theorems for Sparsity-Promoting $ ℓ _{ 1 } $ Regularization

Evaluating functions of positive-definite matrices using colored-noise thermostats

MATHICSE Technical Report : Bounds for the decay of the entries in inverses and Cauchy- Stieltjes functions of sparse, normal matrices

MATHICSE Technical Report : Fast computation of the matrix exponential for a Toeplitz matrix

Programming with Numerical Uncertainties

Aggressively Truncated Taylor Series Method For Accurate Computation Of Exponentials Of Essentially Nonnegative Matrices