Motivated by various computational applications, we investigate the prob...
Building upon recent work by the author, we prove that multivariate
inte...
Randomized quadratures for integrating functions in Sobolev spaces of or...
In this note, we prove that the following function space with absolutely...
We study quasi-Monte Carlo (QMC) integration over the multi-dimensional ...
We study randomized quasi-Monte Carlo integration by scrambled nets. The...
We study stochastic gradient descent for solving conditional stochastic
...
A sub-optimality of Gauss–Hermite quadrature and an optimality of the
tr...
We study quasi-Monte Carlo (QMC) integration of smooth functions defined...
Estimating nested expectations is an important task in computational
mat...
We study a randomized quadrature algorithm to approximate the integral o...
In this short note, we study a concatenation of quasi-Monte Carlo and pl...
Global sensitivity analysis aims at measuring the relative importance of...
In this paper we propose an efficient stochastic optimization algorithm ...
Motivated mainly by applications to partial differential equations with
...
Variational Bayes is a method to find a good approximation of the poster...
We study quasi-Monte Carlo (QMC) methods for numerical integration of
mu...
In this short note we provide an unbiased multilevel Monte Carlo estimat...
We study Monte Carlo estimation of the expected value of sample informat...
In this paper we develop an efficient Monte Carlo algorithm for estimati...