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Jonas Wacker

2 accepted papers

2023

Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel

AISTATS 2023poster

Randomized sketches of a tensor product of $p$ vectors follow a tradeoff between statistical efficiency and computational acceleration. Commonly used approaches avoid computing the high-dimensional tensor product explicitly, resulting in a suboptimal dependence of $O(3^p)$ in the embedding dimension…

2020

Kernel Computations from Large-Scale Random Features Obtained by Optical Processing Units

ICASSP 2020accepted

Approximating kernel functions with random features (RFs) has been a successful application of random projections for nonparametric estimation. However, performing random projections presents computational challenges for large-scale problems. Recently, a new optical hardware called Optical Processin…

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