Towards the sampling Lovász local lemma
Vishesh Jain (Stanford University)
Abstract: For a constraint satisfaction problem which satisfies the condition of the Lovász local lemma (LLL), the celebrated algorithm of Moser and Tardos allows one to efficiently find a satisfying assignment. In the past few years, much work has gone into understanding whether one can efficiently sample from approximately the uniform distribution on satisfying assignments, or approximately count the number of satisfying assignments, under LLL-like conditions.
I will discuss recent algorithmic progress on this problem, joint with Huy Tuan Pham (Stanford) and Thuy Duong Vuong (Stanford).
combinatoricsprobability
Audience: researchers in the topic
Extremal and probabilistic combinatorics webinar
Series comments: We've added a password: concatenate the 6 first prime numbers (hence obtaining an 8-digit password).
Organizers: | Jan Hladky*, Diana Piguet, Jan Volec*, Liana Yepremyan |
*contact for this listing |