Search Results for author:
Found 2 papers, 1 papers with code
Geometry Aware Mappings for High Dimensional Sparse Factors
While matrix factorisation models are ubiquitous in large scale recommendation and search, real time application of such models requires inner product computations over an intractably large set of item factors.
Atomic norm denoising with applications to line spectral estimation
Motivated by recent work on atomic norms in inverse problems, we propose a new approach to line spectral estimation that provides theoretical guarantees for the mean-squared-error (MSE) performance in the presence of noise and without knowledge of the model order.
Information Theory Information Theory
Cannot find the paper you are looking for? You can
Submit a new open access paper.
