

Wasserstein gradient flows and applications to sampling in machine learning - lecture 1
De Anna Korba


Wasserstein gradient flows and applications to sampling in machine learning - lecture 2
De Anna Korba
De Yoram Moses
Apparaît dans la collection : 2016 - T1 - WS1 - Distributed computation and communication theme
The first part of this talk will use the results of the first talk to relate knowledge to coordinated action in a multi-agent setting. The second part of the talk will use the observations made in the first part to capture the role of time and timing information in coordinating actions in systems with clocks. While message chains play a dominant role in asynchronous systems, a corresponding notion is established for systems with clocks and time bounds on message delivery. The second part is based on joint work with Ido Ben Zvi.