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Benjamin Haeffele

2 accepted papers

2020

A novel variational form of the Schatten-$p$ quasi-norm

NeurIPS 2020poster

The Schatten-$p$ quasi-norm with $p\in(0,1)$ has recently gained considerable attention in various low-rank matrix estimation problems offering significant benefits over relevant convex heuristics such as the nuclear norm. However, due to the nonconvexity of the Schatten-$p$ quasi-norm, minimization…

Cited by 15SourcePDFScholar
2018

Dropout as a Low-Rank Regularizer for Matrix Factorization

AISTATS 2018poster

Regularization for matrix factorization (MF) and approximation problems has been carried out in many different ways. Due to its popularity in deep learning, dropout has been applied also for this class of problems. Despite its solid empirical performance, the theoretical properties of dropout as a r…

Cited by 0SourcePDFScholar