Neural Information Processing Systems http://nips.cc/

In this paper, we consider a multi-step version of the stochastic ADMM method with efficient guarantees for high-dimensional problems. We first analyze the simple setting, where the optimization problem consists of a loss function and asingleregularizer(e.g.

Across a wide range of hardware scenarios, the computational efficiency and physical size of the arithmetic units significantly influence the speed and footprint of the overall hardware system.

The general recipe for each communication round is composed of three steps.

Neural Information Processing Systems http://nips.cc/

Moreover,manyoftheDROproblems thatariseinthe learning context admits exact convex reformulations and hence can be tackled byoff-the-shelf solvers.

In classic auction theory, reserve prices are known to be effective for improving revenue for the auctioneer against quasi-linear utility maximizing bidders.