7 citations · 12 across the 4 of their papers we have counts for
6 papers
Adaptive Bayesian Reticulum
Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Kaspar Thommen
Neural Networks and Decision Trees: two popular techniques for supervised learning that are seemingly disconnected in their formulation and optimization method, have recently been…
A Bayesian Decision Tree Algorithm
Giuseppe Nuti, Lluís Antoni Jiménez Rugama, Andreea-Ingrid Cross
Bayesian Decision Trees are known for their probabilistic interpretability. However, their construction can sometimes be costly. In this article we present a general Bayesian Decis…
Adaptive Quasi-Monte Carlo Methods for Cubature
Fred J. Hickernell, Lluís Antoni Jiménez Rugama, Da Li
High dimensional integrals can be approximated well by quasi-Monte Carlo methods. However, determining the number of function values needed to obtain the desired accuracy is diffic…
GAIL---Guaranteed Automatic Integration Library in MATLAB: Documentation for Version 2.1
Sou-Cheng T. Choi, Yuhan Ding, Fred J. Hickernell +5
Automatic and adaptive approximation, optimization, or integration of functions in a cone with guarantee of accuracy is a relatively new paradigm. Our purpose is to create an open-…
Adaptive Multidimensional Integration Based on Rank-1 Lattices
Lluís Antoni Jiménez Rugama, Fred J. Hickernell
Quasi-Monte Carlo methods are used for numerically integrating multivariate functions. However, the error bounds for these methods typically rely on a priori knowledge of some semi…
Reliable Adaptive Cubature Using Digital Sequences
Fred J. Hickernell, Lluís Antoni Jiménez Rugama
Quasi-Monte Carlo cubature methods often sample the integrand using Sobol' (or other digital) sequences to obtain higher accuracy than IID sampling. An important question is how to…