39 citations · 124 across the 17 of their papers we have counts for
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stat.ML2021
Random matrices in service of ML footprint: ternary random features with no performance loss
Hafiz Tiomoko Ali, Zhenyu Liao, Romain Couillet
In this article, we investigate the spectral behavior of random features kernel matrices of the type ${\bf K} = \mathbb{E}_{\bf w} \left[σ\left({\bf w}^{\sf T}{\bf x}_i\right)σ\lef…
stat.ML2021★ 6 cited
Hessian Eigenspectra of More Realistic Nonlinear Models
Zhenyu Liao, Michael W. Mahoney
Given an optimization problem, the Hessian matrix and its eigenspectrum can be used in many ways, ranging from designing more efficient second-order algorithms to performing model…