Search Results for author:
Found 2 papers, 0 papers with code
Continuous Relaxations for Discrete Hamiltonian Monte Carlo
Continuous relaxations play an important role in discrete optimization, but have not seen much use in approximate probabilistic inference.
Quasi-Newton Methods for Markov Chain Monte Carlo
The performance of Markov chain Monte Carlo methods is often sensitive to the scaling and correlations between the random variables of interest.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
