We stand with Ukraine

We stand with Ukraine

Art B. Owen

Orcid: 0000-0001-5860-3945

Affiliations:

Stanford University, Department of Statistics

According to our database¹, Art B. Owen authored at least 64 papers between 1996 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on www-stat.stanford.edu

On csauthors.net:

Bibliography

2024

Gain Coefficients for Scrambled Halton Points.

[BibT_eX]

[DOI]

,

SIAM J. Numer. Anal., 2024

Mean Dimension of Radial Basis Functions.

[BibT_eX]

[DOI]

Christopher R. Hoyt

,

SIAM J. Numer. Anal., 2024

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

[BibT_eX]

[DOI]

,

Math. Comput., 2024

Skewness of a randomized quasi-Monte Carlo estimate.

[BibT_eX]

[DOI]

,

CoRR, 2024

2023

Quasi-Monte Carlo Methods in Python.

[BibT_eX]

[DOI]

Pamphile T. Roy

,

,

Maximilian Balandat

,

J. Open Source Softw., July, 2023

Preintegration via Active Subspace.

[BibT_eX]

[DOI]

,

SIAM J. Numer. Anal., April, 2023

The nonzero gain coefficients of Sobol's sequences are always powers of two.

[BibT_eX]

[DOI]

,

J. Complex., April, 2023

Deletion and Insertion Tests in Regression Models.

[BibT_eX]

[DOI]

,

,

J. Mach. Learn. Res., 2023

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

[BibT_eX]

[DOI]

Michael Gnewuch

,

,

,

CoRR, 2023

Confidence Intervals for Randomized Quasi-Monte Carlo Estimators.

[BibT_eX]

[DOI]

Pierre L'Ecuyer

,

Marvin K. Nakayama

,

,

Proceedings of the Winter Simulation Conference, 2023

2022

Super-polynomial accuracy of one dimensional randomized nets using the median of means.

[BibT_eX]

[DOI]

,

Math. Comput., November, 2022

Model free Shapley values for high dimensional data.

[BibT_eX]

[DOI]

,

,

CoRR, 2022

Variable importance without impossible data.

[BibT_eX]

[DOI]

,

,

Benjamin B. Seiler

CoRR, 2022

Pre-integration via Active Subspaces.

[BibT_eX]

[DOI]

,

CoRR, 2022

2021

A Strong Law of Large Numbers for Scrambled Net Integration.

[BibT_eX]

[DOI]

,

SIAM Rev., 2021

Efficient Estimation of the ANOVA Mean Dimension, with an Application to Neural Net Classification.

[BibT_eX]

[DOI]

,

Christopher R. Hoyt

SIAM/ASA J. Uncertain. Quantification, 2021

Density Estimation by Randomized Quasi-Monte Carlo.

[BibT_eX]

[DOI]

Amal Ben Abdellah

,

Pierre L'Ecuyer

,

,

Florian Puchhammer

SIAM/ASA J. Uncertain. Quantification, 2021

Quasi-Monte Carlo Quasi-Newton in Variational Bayes.

[BibT_eX]

[DOI]

,

J. Mach. Learn. Res., 2021

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

[BibT_eX]

[DOI]

,

CoRR, 2021

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

[BibT_eX]

[DOI]

Christopher R. Hoyt

,

CoRR, 2021

What makes you unique?

[BibT_eX]

[DOI]

Benjamin Seiler

,

,

CoRR, 2021

Cohort Shapley value for algorithmic fairness.

[BibT_eX]

[DOI]

,

,

Benjamin B. Seiler

CoRR, 2021

Quasi-Newton Quasi-Monte Carlo for variational Bayes.

[BibT_eX]

[DOI]

,

CoRR, 2021

Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design.

[BibT_eX]

[DOI]

Ben J. Marafino

,

Alejandro Schuler

,

,

,

Gabriel J. Escobar

,

Michael Baiocchi

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.

[BibT_eX]

[DOI]

,

ACM Trans. Model. Comput. Simul., 2020

Mean Dimension of Ridge Functions.

[BibT_eX]

[DOI]

Christopher R. Hoyt

,

SIAM J. Numer. Anal., 2020

A strong law of large numbers for scrambled net integration.

[BibT_eX]

[DOI]

CoRR, 2020

On Dropping the First Sobol' Point.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2019

Editorial: special edition on probabilistic numerics.

[BibT_eX]

[DOI]

Mark A. Girolami

,

Ilse C. F. Ipsen

,

,

,

Timothy John Sullivan

Stat. Comput., 2019

Explaining black box decisions by Shapley cohort refinement.

[BibT_eX]

[DOI]

,

,

Benjamin Seiler

CoRR, 2019

Unreasonable effectiveness of Monte Carlo.

[BibT_eX]

[DOI]

CoRR, 2019

2017

On Shapley Value for Measuring Importance of Dependent Inputs.

[BibT_eX]

[DOI]

,

Clémentine Prieur

SIAM/ASA J. Uncertain. Quantification, 2017

Scrambled Geometric Net Integration Over General Product Spaces.

[BibT_eX]

[DOI]

,

Found. Comput. Math., 2017

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

[BibT_eX]

[DOI]

,

,

Michael Chertkov

CoRR, 2017

A randomized Halton algorithm in R.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Transformations and Hardy-Krause Variation.

[BibT_eX]

[DOI]

,

SIAM J. Numer. Anal., 2016

A constraint on extensible quadrature rules.

[BibT_eX]

[DOI]

Numerische Mathematik, 2016

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

[BibT_eX]

[DOI]

,

CoRR, 2016

2015

Low Discrepancy Constructions in the Triangle.

[BibT_eX]

[DOI]

,

SIAM J. Numer. Anal., 2015

Statistically efficient thinning of a Markov chain sampler.

[BibT_eX]

[DOI]

CoRR, 2015

Moment based gene set tests.

[BibT_eX]

[DOI]

Jessica L. Larson

,

BMC Bioinform., 2015

2014

Sobol' Indices and Shapley Value.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2014

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

[BibT_eX]

[DOI]

,

CoRR, 2014

2013

Better estimation of small sobol' sensitivity indices.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2013

Variance Components and Generalized Sobol' Indices.

[BibT_eX]

[DOI]

SIAM/ASA J. Uncertain. Quantification, 2013

2012

Moment-Based Estimation of Stochastic Kronecker Graph Parameters.

[BibT_eX]

[DOI]

David F. Gleich

,

Internet Math., 2012

One Permutation Hashing for Efficient Search and Learning

[BibT_eX]

[DOI]

,

,

CoRR, 2012

One Permutation Hashing.

[BibT_eX]

[DOI]

,

,

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.

[BibT_eX]

[DOI]

Patrick O. Perry

,

J. Mach. Learn. Res., 2010

Outlier Detection Using Nonconvex Penalized Regression

[BibT_eX]

[DOI]

,

CoRR, 2010

2009

Properties of Balanced Permutations.

[BibT_eX]

[DOI]

Lucinda K. Southworth

,

,

J. Comput. Biol., 2009

2007

Infinitely Imbalanced Logistic Regression.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

2006

Halton Sequences Avoid the Origin.

[BibT_eX]

[DOI]

SIAM Rev., 2006

On the Warnock-Halton quasi-standard error.

[BibT_eX]

[DOI]

Monte Carlo Methods Appl., 2006

2003

Variance with alternative scramblings of digital nets.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2003

Quasi-regression with shrinkage.

[BibT_eX]

[DOI]

,

Math. Comput. Simul., 2003

Data Squashing by Empirical Likelihood.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2003

2001

Quasi-regression.

[BibT_eX]

[DOI]

,

J. Complex., 2001

1998

Latin Supercube Sampling for Very High-Dimensional Simulations.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 1998

Scrambling Sobol' and Niederreiter-Xing Points.

[BibT_eX]

[DOI]

J. Complex., 1998

Monto Carlo Extension of Quasi-Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the 30th conference on Winter simulation, 1998

1996

Empirical error-confidence Curves for Neural Network and Gaussian Classifiers.

[BibT_eX]

[DOI]

Gregory J. Wolff

,

,

Int. J. Neural Syst., 1996

9 Computer experiments.

[BibT_eX]

[DOI]

James R. Koehler

,

Proceedings of the Design and analysis of experiments., 1996

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