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12/02/2022
On the optimal rank-1 approximation of matrices in the Chebyshev norm
The problem of low rank approximation is ubiquitous in science. Traditio...
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06/24/2022
Variational Bayesian inference for CP tensor completion with side information
We propose a message passing algorithm, based on variational Bayesian in...
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01/28/2022
On the algorithm of best approximation by low rank matrices in the Chebyshev norm
The low-rank matrix approximation problem is ubiquitous in computational...
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10/08/2021
Tensor train completion: local recovery guarantees via Riemannian optimization
In this work we estimate the number of randomly selected elements of a t...
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06/23/2020