Wealsoprovidea probabilistic convergence result for Adam under a generalized smooth condition which allows unbounded smoothness parameters and has been illustrated empirically to capture the smooth property of many practical objective functions more accurately.

Unfortunately,RSsuffers from a d multiplicative factor in its approximation error, leading to ad1/4 multiplicative term in the convergence rate of distributed algorithms (e.g.

There is a recent focus on designing architectures that have an Integer Linear Programming (ILP) layer following a neural model (referred to asNeural ILP in this paper).

Inverse optimal control can be used to characterize behavior in sequential decision-making tasks.