261 citations · 347 across the 12 of their papers we have counts for
3 papers · 1 filter
The All-or-Nothing Phenomenon in Sparse Tensor PCA
Jonathan Niles-Weed, Ilias Zadik
We study the statistical problem of estimating a rank-one sparse tensor corrupted by additive Gaussian noise, a model also known as sparse tensor PCA. We show that for Bernoulli an…
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu, Jonathan Niles-Weed, Narges Razavian +1
We propose a novel framework to perform classification via deep learning in the presence of noisy annotations. When trained on noisy labels, deep neural networks have been observed…
Sinkhorn EM: An Expectation-Maximization algorithm based on entropic optimal transport
Gonzalo Mena, Amin Nejatbakhsh, Erdem Varol +1
We study Sinkhorn EM (sEM), a variant of the expectation maximization (EM) algorithm for mixtures based on entropic optimal transport. sEM differs from the classic EM algorithm in…