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 |