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Found 3 papers, 1 papers with code
Deep Hashing via Householder Quantization
Hashing is at the heart of large-scale image similarity search, and recent methods have been substantially improved through deep learning techniques.
A spectral least-squares-type method for heavy-tailed corrupted regression with unknown covariance \& heterogeneous noise
We wish to estimate a $p$-dimensional parameter $b^*$ given such sample of a label-feature pair $(y, x)$ satisfying $y=\langle x, b^*\rangle+\xi$ with heavy-tailed $(x,\xi)$.
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality
In this paper we study the rank-constrained version of SDPs arising in MaxCut and in synchronization problems.
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