Fast sampling of sparse contingency tables

Series
Combinatorics Seminar
Time
Friday, January 18, 2019 - 3:05pm for 1 hour (actually 50 minutes)
Location
Skiles 169 (*Unusual room*)
Speaker
Samuel Dittmer – Mathematics, UCLA – Samuel.dittmer@math.ucla.edu
Organizer
Prasad Tetali
We present a new algorithm for sampling contingency tables with fixed margins. This algorithm runs in polynomial time for certain broad classes of sparse tables. We compare the performance of our algorithm theoretically and experimentally to existing methods, including the Diaconis-Gangolli Markov chain and sequential importance sampling. Joint work with Igor Pak.