Various theoretical results provideupper bounds onthedistance between the target and marginal distribution after a fixed number of iterations.

Shift-and-invert preconditioning, as a classic acceleration technique for the leading eigenvector computation, has received much attention again recently, owing to fast least-squares solvers for efficiently approximating matrix inversions in power iterations.

Seide 23] and 25] were reduce accumulation.

Most of this work was done when Fanghui was at KULeuven.

We study a distributionally robust mean square error estimation problem over a nonconvexWasserstein ambiguity set containing only normal distributions.

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

In addition to solving (1), we also wish topreserve privacyfor the people who contributed to the dataset Z.

Compared meta-learning (2)results wecanonlymoutofM tasks.

Time series forecasting plays akeyrole in informing industrial and business decisions [17,24,8], while segmentation isuseful forunderstanding biological andphysicalsystems [40,45,34].

Data from naturalistic systems are often modeled asgenerated from an underlying low dimensional manifold embedded inahighdimensional measurement space.