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...

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Bibliographic Details
Main Authors: Li, Chengtao, Jegelka, Stefanie Sabrina, Sra, Suvrit
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: Morgan Kaufmann Publishers 2021
Online Access:https://hdl.handle.net/1721.1/129329