On Integration Methods Based on Scrambled Nets of Arbitrary Size

v1v2v3 (latest)

On Integration Methods Based on Scrambled Nets of Arbitrary Size

12 August 2014

ArXiv (abs)PDF HTML

Papers citing "On Integration Methods Based on Scrambled Nets of Arbitrary Size"

7 / 7 papers shown

Title
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks Fanny Jourdan Agustin Picard Thomas Fel Laurent Risser Jean-Michel Loubes Nicholas M. Asher 52 8 0 11 May 2023
Low-variance estimation in the Plackett-Luce model via quasi-Monte Carlo sampling Alexander K. Buchholz Jan Malte Lichtenberg Giuseppe Di Benedetto Yannik Stein Vito Bellini M. Ruffini 447 2 0 12 May 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 173 65 0 07 Nov 2021
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 105 60 0 04 Jul 2018
Improving approximate Bayesian computation via quasi-Monte Carlo Alexander K. Buchholz Nicolas Chopin 80 26 0 03 Oct 2017
Three discussions of the paper "sequential quasi-Monte Carlo sampling", by M. Gerber and N. Chopin Mathieu Gerber Igor Prunster N. Chopin Robin J. Ryder 90 69 0 24 May 2015
Application of Sequential Quasi-Monte Carlo to Autonomous Positioning Nicolas Chopin Mathieu Gerber 31 1 0 05 Mar 2015