no code implementations • NeurIPS 2012 • Yichuan Zhang, Zoubin Ghahramani, Amos J. Storkey, Charles A. Sutton
Continuous relaxations play an important role in discrete optimization, but have not seen much use in approximate probabilistic inference.
no code implementations • NeurIPS 2011 • Yichuan Zhang, Charles A. Sutton
The performance of Markov chain Monte Carlo methods is often sensitive to the scaling and correlations between the random variables of interest.