Name
Abstract | ||
|---|---|---|
We propose a new Monte Carlo algorithm for complex discrete distributions. The algorithm is motivated by the N-Fold Way, which is an ingenious event-driven MCMC sampler that avoids rejection moves at any specific state. The N-Fold Way can however get "trapped" in cycles. We surmount this problem by modifying the sampling process. This correction does introduce bias, but the bias is subsequently corrected with a carefully engineered importance sampler. |
Year | Venue | DocType |
|---|---|---|
2007 | UAI | Conference |
Volume | Citations | PageRank |
abs/1206.5239 | 2 | 0.36 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Firas Hamze | 1 | 131 | 14.05 |
| Nando De Freitas | 2 | 3284 | 273.68 |