Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling

Chengtao Li, Suvrit Sra, Stefanie Jegelka

Nov-21-2025, 07:42:25 GMT–Neural Information Processing Systems

We study probability measures induced by set functions with constraints.

artificial intelligence, constraint, machine learning, (17 more...)

Neural Information Processing Systems

Nov-21-2025, 07:42:25 GMT

Conferences PDF

Country:
- Asia > Middle East
  - Jordan (0.04)
- Europe > Spain
  - Catalonia > Barcelona Province > Barcelona (0.04)
- North America > United States
  - Massachusetts > Middlesex County > Cambridge (0.04)

Technology:
- Information Technology > Artificial Intelligence
  - Machine Learning > Learning Graphical Models
    - Undirected Networks > Markov Models (0.44)
  - Representation & Reasoning (1.00)

Duplicate Docs Excel Report

Title
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling MIT

Similar Docs Excel Report more

Title	Similarity	Source
None found