90 citations · 332 across the 63 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.ML2019★ 6 cited
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
Rares-Darius Buhai, Yoni Halpern, Yoon Kim +2
One of the most surprising and exciting discoveries in supervised learning was the benefit of overparameterization (i.e. training a very large model) to improving the optimization…
cs.LG2019★ 1 cited
Sum-of-squares meets square loss: Fast rates for agnostic tensor completion
Dylan J. Foster, Andrej Risteski
We study tensor completion in the agnostic setting. In the classical tensor completion problem, we receive entries of an unknown rank- tensor and wish to exactly complete th…