11 citations · 25 across the 6 of their papers we have counts for
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cs.LG2019★ 3 cited
Semi-flat minima and saddle points by embedding neural networks to overparameterization
Kenji Fukumizu, Shoichiro Yamaguchi, Yoh-ichi Mototake +1
We theoretically study the landscape of the training error for neural networks in overparameterized cases. We consider three basic methods for embedding a network into a wider one…
math.OC2019★ 2 cited
Extension of the LP-Newton method to SOCPs via semi-infinite representation
Takayuki Okuno, Mirai Tanaka
The LP-Newton method solves the linear programming problem (LP) by repeatedly projecting a current point onto a certain relevant polytope. In this paper, we extend the algorithmic…