Parallel Streaming Wasserstein Barycenters
© 2017 Neural information processing systems foundation. All rights reserved. Efficiently aggregating data from different sources is a challenging problem, particularly when samples from each source are distributed differently. These differences can be inherent to the inference task or present for o...
Main Authors: | Staib, Matthew (Author), Claici, Sebastian (Author), Solomon, Justin (Author), Jegelka, Stefanie (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
2021-11-08T21:18:59Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Stochastic wasserstein barycenters
by: Solomon, Justin, et al.
Published: (2021) -
Decentralized Algorithms for Wasserstein Barycenters
by: Dvinskikh, Darina
Published: (2021) -
Multimedia Analysis and Fusion via Wasserstein Barycenter
by: Cong Jin, et al.
Published: (2020-02-01) -
Statistical properties of barycenters in the Wasserstein space and fast algorithms for optimal transport of measures
by: Cazelles, Elsa
Published: (2018) -
Vector fields satisfying the barycenter property
by: Lee Manseob
Published: (2018-04-01)