no code implementations • 2 Jun 2021 • Gautam Kamath, Xingtu Liu, Huanyu Zhang
Finally, we prove nearly-matching lower bounds for private stochastic convex optimization with strongly convex losses and mean estimation, showing new separations between pure and concentrated DP.
no code implementations • 31 Jan 2021 • Xingtu Liu
We study the benefits of complex-valued weights for neural networks.
no code implementations • 1 Jan 2021 • Xingtu Liu
In this work we demonstrate for the first time that a non-linear neural network can have no poor local minima under no assumptions.
