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11/10/2022
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
We propose a Randomised Subspace Gauss-Newton (R-SGN) algorithm for solv...
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09/01/2022
Johnson-Lindenstrauss embeddings for noisy vectors – taking advantage of the noise
This paper investigates theoretical properties of subsampling and hashin...
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06/07/2022
On random embeddings and their application to optimisation
Random embeddings project high-dimensional spaces to low-dimensional one...
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05/25/2021