84 citations · 120 across the 2 of their papers we have counts for
2 papers
stat.CO2016★ 36 cited
Heretical Multiple Importance Sampling
Víctor Elvira, Luca Martino, David Luengo +1
Multiple Importance Sampling (MIS) methods approximate moments of complicated distributions by drawing samples from a set of proposal distributions. Several ways to compute the imp…
stat.ML2015★ 84 cited
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises
J. Read, L. Martino, P. Olmos +1
Multi-output inference tasks, such as multi-label classification, have become increasingly important in recent years. A popular method for multi-label classification is classifier…