270 citations · 862 across the 16 of their papers we have counts for
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cs.LG2019★ 19 cited
Learning-Based Low-Rank Approximations
Piotr Indyk, Ali Vakilian, Yang Yuan
We introduce a "learning-based" algorithm for the low-rank decomposition problem: given an matrix , and a parameter , compute a rank- matrix that minimiz…
cs.LG2019★ 35 cited
Asymmetric Valleys: Beyond Sharp and Flat Local Minima
Haowei He, Gao Huang, Yang Yuan
Despite the non-convex nature of their loss functions, deep neural networks are known to generalize well when optimized with stochastic gradient descent (SGD). Recent work conjectu…