Art B. Owen

Publication Activity (10 Years)

Years Active: 1996-2023
Publications (10 Years): 47

Top Topics

Variational Bayes

Importance Sampling

Top Venues

SIAM J. Numer. Anal.

SIAM/ASA J. Uncertain. Quantification

Publications

Art B. Owen, Zexin Pan
Gain coefficients for scrambled Halton points. CoRR (2023)
Pamphile T. Roy, Art B. Owen, Maximilian Balandat, Matt Haberland
Quasi-Monte Carlo Methods in Python. J. Open Source Softw. 8 (87) (2023)
Pierre L'Ecuyer, Marvin K. Nakayama, Art B. Owen, Bruno Tuffin
Confidence Intervals for Randomized Quasi-Monte Carlo Estimators. WSC (2023)
Michael Gnewuch, Peter Kritzer, Art B. Owen, Zexin Pan
Computable error bounds for quasi-Monte Carlo using points with non-negative local discrepancy. CoRR (2023)
Sifan Liu, Art B. Owen
Preintegration via Active Subspace. SIAM J. Numer. Anal. 61 (2) (2023)
Zexin Pan, Art B. Owen
The nonzero gain coefficients of Sobol's sequences are always powers of two. J. Complex. 75 (2023)
Christopher R. Hoyt, Art B. Owen
Mean dimension of radial basis functions. CoRR (2023)
Naofumi Hama, Masayoshi Mase, Art B. Owen
Model free Shapley values for high dimensional data. CoRR (2022)
Sifan Liu, Art B. Owen
Pre-integration via Active Subspaces. CoRR (2022)
Zexin Pan, Art B. Owen
Super-polynomial accuracy of one dimensional randomized nets using the median of means. Math. Comput. 92 (340) (2022)
Naofumi Hama, Masayoshi Mase, Art B. Owen
Deletion and Insertion Tests in Regression Models. CoRR (2022)
Masayoshi Mase, Art B. Owen, Benjamin B. Seiler
Variable importance without impossible data. CoRR (2022)
Zexin Pan, Art B. Owen
Super-polynomial accuracy of multidimensional randomized nets using the median-of-means. CoRR (2022)
Zexin Pan, Art B. Owen
Super-polynomial accuracy of one dimensional randomized nets using the median-of-means. CoRR (2021)
Sifan Liu, Art B. Owen
Quasi-Newton Quasi-Monte Carlo for variational Bayes. CoRR (2021)
Christopher R. Hoyt, Art B. Owen
Probing neural networks with t-SNE, class-specific projections and a guided tour. CoRR (2021)
Art B. Owen, Christopher R. Hoyt
Efficient Estimation of the ANOVA Mean Dimension, with an Application to Neural Net Classification. SIAM/ASA J. Uncertain. Quantification 9 (2) (2021)
Art B. Owen, Daniel Rudolf
A Strong Law of Large Numbers for Scrambled Net Integration. SIAM Rev. 63 (2) (2021)
Masayoshi Mase, Art B. Owen, Benjamin B. Seiler
Cohort Shapley value for algorithmic fairness. CoRR (2021)
Amal Ben Abdellah, Pierre L'Ecuyer, Art B. Owen, Florian Puchhammer
Density Estimation by Randomized Quasi-Monte Carlo. SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Zexin Pan, Art B. Owen
The nonzero gain coefficients of Sobol's sequences are always powers of two. CoRR (2021)
Sifan Liu, Art B. Owen
Quasi-Monte Carlo Quasi-Newton in Variational Bayes. J. Mach. Learn. Res. 22 (2021)
Ben J. Marafino, Alejandro Schuler, Vincent X. Liu, Art B. Owen, Gabriel J. Escobar, Michael Baiocchi
Integrating Evaluations of Predictive Algorithm-Driven Interventions into Clinical Workflows with the Dynamic Discontinuity Deployment Design. AMIA (2021)
Benjamin Seiler, Masayoshi Mase, Art B. Owen
What makes you unique? CoRR (2021)
Art B. Owen, Zexin Pan
An open question about powers of log(n) in quasi-Monte Carlo. CoRR (2021)
Art B. Owen
A strong law of large numbers for scrambled net integration. CoRR (2020)
Christopher R. Hoyt, Art B. Owen
Mean Dimension of Ridge Functions. SIAM J. Numer. Anal. 58 (2) (2020)
Art B. Owen
On Dropping the First Sobol' Point. MCQMC (2020)
Art B. Owen
On dropping the first Sobol' point. CoRR (2020)
Art B. Owen, Yi Zhou
The Square Root Rule for Adaptive Importance Sampling. ACM Trans. Model. Comput. Simul. 30 (2) (2020)
Christopher R. Hoyt, Art B. Owen
Efficient estimation of the ANOVA mean dimension, with an application to neural net classification. CoRR (2020)
Art B. Owen
Unreasonable effectiveness of Monte Carlo. CoRR (2019)
Mark A. Girolami, Ilse C. F. Ipsen, Chris J. Oates, Art B. Owen, Timothy John Sullivan
Editorial: special edition on probabilistic numerics. Stat. Comput. 29 (6) (2019)
Christopher R. Hoyt, Art B. Owen
Mean Dimension of Ridge Functions. CoRR (2019)
Art B. Owen
Effective Dimension of Some Weighted Pre-Sobolev Spaces with Dominating Mixed Partial Derivatives. SIAM J. Numer. Anal. 57 (2) (2019)
Masayoshi Mase, Art B. Owen, Benjamin Seiler
Explaining black box decisions by Shapley cohort refinement. CoRR (2019)
Art B. Owen, Clémentine Prieur
On Shapley Value for Measuring Importance of Dependent Inputs. SIAM/ASA J. Uncertain. Quantification 5 (1) (2017)
Art B. Owen, Yury Maximov, Michael Chertkov
Importance sampling the union of rare events with an application to power systems analysis. CoRR (2017)
Kinjal Basu, Art B. Owen
Scrambled Geometric Net Integration Over General Product Spaces. Found. Comput. Math. 17 (2) (2017)
Art B. Owen
A randomized Halton algorithm in R. CoRR (2017)
Kinjal Basu, Art B. Owen
Transformations and Hardy-Krause Variation. SIAM J. Numer. Anal. 54 (3) (2016)
Kinjal Basu, Art B. Owen
Quasi-Monte Carlo for an Integrand with a Singularity along a Diagonal in the Square. CoRR (2016)
Art B. Owen
A constraint on extensible quadrature rules. Numerische Mathematik 132 (3) (2016)
Jessica L. Larson, Art B. Owen
Moment based gene set tests. BMC Bioinform. 16 (2015)
Kinjal Basu, Art B. Owen
Low Discrepancy Constructions in the Triangle. SIAM J. Numer. Anal. 53 (2) (2015)
Art B. Owen
Statistically efficient thinning of a Markov chain sampler. CoRR (2015)
Kinjal Basu, Art B. Owen
Scrambled geometric net integration over general product spaces. CoRR (2015)
Art B. Owen
Sobol' Indices and Shapley Value. SIAM/ASA J. Uncertain. Quantification 2 (1) (2014)
Zhijian He, Art B. Owen
Extensible grids: uniform sampling on a space-filling curve. CoRR (2014)
Art B. Owen
A constraint on extensible quadrature rules. CoRR (2014)
Kinjal Basu, Art B. Owen
Low discrepancy constructions in the triangle. CoRR (2014)
Art B. Owen
Variance Components and Generalized Sobol' Indices. SIAM/ASA J. Uncertain. Quantification 1 (1) (2013)
Art B. Owen
Better estimation of small sobol' sensitivity indices. ACM Trans. Model. Comput. Simul. 23 (2) (2013)
Ping Li, Art B. Owen, Cun-Hui Zhang
One Permutation Hashing. NIPS (2012)
Ping Li, Art B. Owen, Cun-Hui Zhang
One Permutation Hashing for Efficient Search and Learning CoRR (2012)
David F. Gleich, Art B. Owen
Moment-Based Estimation of Stochastic Kronecker Graph Parameters. Internet Math. 8 (3) (2012)
Art B. Owen
Better estimation of small Sobol' sensitivity indices CoRR (2012)
David F. Gleich, Art B. Owen
Moment based estimation of stochastic Kronecker graph parameters CoRR (2011)
Patrick O. Perry, Art B. Owen
A Rotation Test to Verify Latent Structure. J. Mach. Learn. Res. 11 (2010)
Yiyuan She, Art B. Owen
Outlier Detection Using Nonconvex Penalized Regression CoRR (2010)
Lucinda K. Southworth, Stuart K. Kim, Art B. Owen
Properties of Balanced Permutations. J. Comput. Biol. 16 (4) (2009)
Art B. Owen
Infinitely Imbalanced Logistic Regression. J. Mach. Learn. Res. 8 (2007)
Art B. Owen
Halton Sequences Avoid the Origin. SIAM Rev. 48 (3) (2006)
Art B. Owen
On the Warnock-Halton quasi-standard error. Monte Carlo Methods Appl. 12 (1) (2006)
Art B. Owen
Variance with alternative scramblings of digital nets. ACM Trans. Model. Comput. Simul. 13 (4) (2003)
Tao Jiang, Art B. Owen
Quasi-regression with shrinkage. Math. Comput. Simul. 62 (3-6) (2003)
Art B. Owen
Data Squashing by Empirical Likelihood. Data Min. Knowl. Discov. 7 (1) (2003)
Jian An, Art B. Owen
Quasi-regression. J. Complex. 17 (4) (2001)
Art B. Owen
Scrambling Sobol' and Niederreiter-Xing Points. J. Complex. 14 (4) (1998)
Art B. Owen
Monto Carlo Extension of Quasi-Monte Carlo. WSC (1998)
Art B. Owen
Latin Supercube Sampling for Very High-Dimensional Simulations. ACM Trans. Model. Comput. Simul. 8 (1) (1998)
Gregory J. Wolff, David G. Stork, Art B. Owen
Empirical error-confidence Curves for Neural Network and Gaussian Classifiers. Int. J. Neural Syst. 7 (3) (1996)