Fast mixing Markov chains for strongly rayleigh measures, DPPs, and constrained sampling
We study probability measures induced by set functions with constraints. Such measures arise in a variety of real-world settings, where prior knowledge, resource limitations, or other pragmatic considerations impose constraints. We consider the task of rapidly sampling from such constrained measures...
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Morgan Kaufmann Publishers
2021
|
Online Access: | https://hdl.handle.net/1721.1/129329 |