Art B. Owen

Orcid: 0000-0001-5860-3945

Affiliations:
  • Stanford University, Department of Statistics


According to our database1, Art B. Owen authored at least 63 papers between 1996 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2023
Quasi-Monte Carlo Methods in Python.
J. Open Source Softw., July, 2023

Preintegration via Active Subspace.
SIAM J. Numer. Anal., April, 2023

The nonzero gain coefficients of Sobol's sequences are always powers of two.
J. Complex., April, 2023

Computable error bounds for quasi-Monte Carlo using points with non-negative local discrepancy.
CoRR, 2023

Gain coefficients for scrambled Halton points.
CoRR, 2023

Mean dimension of radial basis functions.
CoRR, 2023

Confidence Intervals for Randomized Quasi-Monte Carlo Estimators.
Proceedings of the Winter Simulation Conference, 2023

2022
Super-polynomial accuracy of one dimensional randomized nets using the median of means.
Math. Comput., November, 2022

Model free Shapley values for high dimensional data.
CoRR, 2022

Super-polynomial accuracy of multidimensional randomized nets using the median-of-means.
CoRR, 2022

Variable importance without impossible data.
CoRR, 2022

Deletion and Insertion Tests in Regression Models.
CoRR, 2022

Pre-integration via Active Subspaces.
CoRR, 2022

2021
A Strong Law of Large Numbers for Scrambled Net Integration.
SIAM Rev., 2021

Efficient Estimation of the ANOVA Mean Dimension, with an Application to Neural Net Classification.
SIAM/ASA J. Uncertain. Quantification, 2021

Density Estimation by Randomized Quasi-Monte Carlo.
SIAM/ASA J. Uncertain. Quantification, 2021

Quasi-Monte Carlo Quasi-Newton in Variational Bayes.
J. Mach. Learn. Res., 2021

An open question about powers of log(n) in quasi-Monte Carlo.
CoRR, 2021

Probing neural networks with t-SNE, class-specific projections and a guided tour.
CoRR, 2021

What makes you unique?
CoRR, 2021

Cohort Shapley value for algorithmic fairness.
CoRR, 2021

Quasi-Newton Quasi-Monte Carlo for variational Bayes.
CoRR, 2021

Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
The Square Root Rule for Adaptive Importance Sampling.
ACM Trans. Model. Comput. Simul., 2020

Mean Dimension of Ridge Functions.
SIAM J. Numer. Anal., 2020

A strong law of large numbers for scrambled net integration.
CoRR, 2020

On Dropping the First Sobol' Point.
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2020

2019
Effective Dimension of Some Weighted Pre-Sobolev Spaces with Dominating Mixed Partial Derivatives.
SIAM J. Numer. Anal., 2019

Editorial: special edition on probabilistic numerics.
Stat. Comput., 2019

Explaining black box decisions by Shapley cohort refinement.
CoRR, 2019

Unreasonable effectiveness of Monte Carlo.
CoRR, 2019

2017
On Shapley Value for Measuring Importance of Dependent Inputs.
SIAM/ASA J. Uncertain. Quantification, 2017

Scrambled Geometric Net Integration Over General Product Spaces.
Found. Comput. Math., 2017

Importance sampling the union of rare events with an application to power systems analysis.
CoRR, 2017

A randomized Halton algorithm in R.
CoRR, 2017

2016
Transformations and Hardy-Krause Variation.
SIAM J. Numer. Anal., 2016

A constraint on extensible quadrature rules.
Numerische Mathematik, 2016

Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square.
CoRR, 2016

2015
Low Discrepancy Constructions in the Triangle.
SIAM J. Numer. Anal., 2015

Statistically efficient thinning of a Markov chain sampler.
CoRR, 2015

Moment based gene set tests.
BMC Bioinform., 2015

2014
Sobol' Indices and Shapley Value.
SIAM/ASA J. Uncertain. Quantification, 2014

Extensible grids: uniform sampling on a space-filling curve.
CoRR, 2014

2013
Better estimation of small sobol' sensitivity indices.
ACM Trans. Model. Comput. Simul., 2013

Variance Components and Generalized Sobol' Indices.
SIAM/ASA J. Uncertain. Quantification, 2013

2012
Moment-Based Estimation of Stochastic Kronecker Graph Parameters.
Internet Math., 2012

One Permutation Hashing for Efficient Search and Learning
CoRR, 2012

One Permutation Hashing.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010
A Rotation Test to Verify Latent Structure.
J. Mach. Learn. Res., 2010

Outlier Detection Using Nonconvex Penalized Regression
CoRR, 2010

2009
Properties of Balanced Permutations.
J. Comput. Biol., 2009

2007
Infinitely Imbalanced Logistic Regression.
J. Mach. Learn. Res., 2007

2006
Halton Sequences Avoid the Origin.
SIAM Rev., 2006

On the Warnock-Halton quasi-standard error.
Monte Carlo Methods Appl., 2006

2003
Variance with alternative scramblings of digital nets.
ACM Trans. Model. Comput. Simul., 2003

Quasi-regression with shrinkage.
Math. Comput. Simul., 2003

Data Squashing by Empirical Likelihood.
Data Min. Knowl. Discov., 2003

2001
Quasi-regression.
J. Complex., 2001

1998
Latin Supercube Sampling for Very High-Dimensional Simulations.
ACM Trans. Model. Comput. Simul., 1998

Scrambling Sobol' and Niederreiter-Xing Points.
J. Complex., 1998

Monto Carlo Extension of Quasi-Monte Carlo.
Proceedings of the 30th conference on Winter simulation, 1998

1996
Empirical error-confidence Curves for Neural Network and Gaussian Classifiers.
Int. J. Neural Syst., 1996

9 Computer experiments.
Proceedings of the Design and analysis of experiments., 1996


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