52 citations · 67 across the 5 of their papers we have counts for
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eess.IV2020★ 6 cited
Representation Learning via Cauchy Convolutional Sparse Coding
Perla Mayo, Oktay Karakuş, Robin Holmes +1
In representation learning, Convolutional Sparse Coding (CSC) enables unsupervised learning of features by jointly optimising both an \(\ell_2\)-norm fidelity term and a sparsity e…
eess.IV2020★ 1 cited
Iterative Cauchy Thresholding: Regularisation with a heavy-tailed prior
Perla Mayo, Robin Holmes, Alin Achim
In the machine learning era, sparsity continues to attract significant interest due to the benefits it provides to learning models. Algorithms aiming to optimise the \(\ell_0\)- an…
eess.SP2020★ 52 cited
Convergence Guarantees for Non-Convex Optimisation with Cauchy-Based Penalties
Oktay Karakus, Perla Mayo, Alin Achim
In this paper, we propose a proximal splitting methodology with a non-convex penalty function based on the heavy-tailed Cauchy distribution. We first suggest a closed-form expressi…