Plausible Inference with a Plausible Lipschitz Constant

Authors: Keslin, Gregory, Apley, Daniel W., Nelson, Barry L.

Source: 2024 Winter Simulation Conference (WSC) Winter Simulation Conference (WSC), 2024. :3554-3565 Dec, 2024

Relation: 2024 Winter Simulation Conference (WSC)

One-at-a-time knockoffs: controlled false discovery rate with higher power

Authors: Guan, Charlie K., Ren, Zhimei, Apley, Daniel W.

Subject Terms: Statistics - Methodology

Access URL: http://arxiv.org/abs/2502.18750

A Framework for Supervised and Unsupervised Segmentation and Classification of Materials Microstructure Images

Authors: Zhang, Kungang, Apley, Daniel W., Chen, Wei, Liu, Wing K., Brinson, L. Catherine

Subject Terms: Statistics - Applications, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2502.07107

Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data

Authors: Zhang, Hengrui, Georgescu, Alexandru B., Yerramilli, Suraj, Karpovich, Christopher, Apley, Daniel W., Olivetti, Elsa A., Rondinelli, James M., Chen, Wei

Subject Terms: Condensed Matter - Materials Science, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.17283

Simulation-Free Determination of Microstructure Representative Volume Element Size via Fisher Scores

Authors: Liu, Wei, Mojumder, Satyajit, Liu, Wing Kam, Chen, Wei, Apley, Daniel W.

Source: APL Mach. Learn. 2(2): 026101 (2024)

Subject Terms: Computer Science - Computational Engineering, Finance, and Science, Condensed Matter - Materials Science, Computer Science - Machine Learning, Statistics - Applications

Access URL: http://arxiv.org/abs/2404.15207

Interpretable Architecture Neural Networks for Function Visualization

Authors: Zhang, Shengtong, Apley, Daniel W.

Subject Terms: Computer Science - Machine Learning, Computer Science - Human-Computer Interaction, Statistics - Methodology, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2303.03393

Fully Bayesian inference for latent variable Gaussian process models

Authors: Yerramilli, Suraj, Iyer, Akshay, Chen, Wei, Apley, Daniel W.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2211.02218

Uncertainty quantification and propagation for multiscale materials systems with agglomeration and structural anomalies

Authors: Comlek, Yigitcan ^{a, 1}, Mojumder, Satyajit ^{b, 1}, van Beek, Anton ^{c, 1}, Prabhune, Prajakta ^d, Ciampaglia, Alberto ^e, Apley, Daniel W. ^f, Brinson, L. Catherine ^d, Liu, Wing Kam ^a, Chen, Wei ^{a, ⁎}

Source: In Computer Methods in Applied Mechanics and Engineering 15 February 2025 435

Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design

Authors: Zhang, Hengrui, Chen, Wei Wayne, Iyer, Akshay, Apley, Daniel W., Chen, Wei

Source: Scientific Reports 12, 19760 (2022)

Subject Terms: Statistics - Machine Learning, Condensed Matter - Materials Science, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2207.04994

Diversity Subsampling: Custom Subsamples from Large Data Sets

Authors: Shang, Boyang, Apley, Daniel W., Mehrotra, Sanjay

Subject Terms: Statistics - Methodology

Access URL: http://arxiv.org/abs/2206.10812

Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors

Authors: Wang, Liwei, Yerramilli, Suraj, Iyer, Akshay, Apley, Daniel, Zhu, Ping, Chen, Wei

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2106.15356

Nonstationarity Analysis of Materials Microstructures via Fisher Score Vectors

Authors: Zhang, Kungang, Apley, Daniel W., Chen, Wei

Subject Terms: Statistics - Applications

Access URL: http://arxiv.org/abs/2012.11135

Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors

Authors: Zhang, Kungang, Bui, Anh T., Apley, Daniel W.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2012.06916

Database, Features, and Machine Learning Model to Identify Thermally Driven Metal-Insulator Transition Compounds

Authors: Georgescu, Alexandru B., Ren, Peiwen, Toland, Aubrey R., Zhang, Shengtong, Miller, Kyle D., Apley, Daniel W., Olivetti, Elsa A., Wagner, Nicholas, Rondinelli, James M.

Source: Chem. Mater. 33, 14, 5591-5605 (2021)

Subject Terms: Condensed Matter - Materials Science, Condensed Matter - Strongly Correlated Electrons

Access URL: http://arxiv.org/abs/2010.13306

Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

Authors: Zhang, Yichi, Apley, Daniel, Chen, Wei

Subject Terms: Statistics - Machine Learning, Condensed Matter - Materials Science, Computer Science - Machine Learning, Statistics - Applications

Access URL: http://arxiv.org/abs/1910.01688

Concept Drift Monitoring and Diagnostics of Supervised Learning Models via Score Vectors

Authors: Zhang, Kungang, Bui, Anh T., Apley, Daniel W.

Source: Technometrics. 65(2):137-149

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100180708555.0x000001&indx=1&recIds=ETOCvdc_100180708555.0x000001

Coefficient tree regression: fast, accurate and interpretable predictive modeling.

Authors: Sürer, Özge¹, ozgesurer2019@u.northwestern.edu, Apley, Daniel W.¹, Malthouse, Edward C.¹

Source: Machine Learning; Jul2024, Vol. 113 Issue 7, p4723-4759, 37p

Robust monitoring of stochastic textured surfaces.

Authors: Bui, Anh Tuan¹ (AUTHOR), Apley, Daniel W.² (AUTHOR) apley@northwestern.edu

Source: International Journal of Production Research. Aug2022, Vol. 60 Issue 16, p5071-5086. 16p.

Subject Terms: *Quality control charts, *Statistical process control, *Problem solving, *Data structures, Surface texture

Density Deconvolution with Additive Measurement Errors using Quadratic Programming

Authors: Yang, Ran, Apley, Daniel, Staum, Jeremy, Ruppert, David

Subject Terms: Statistics - Methodology

Access URL: http://arxiv.org/abs/1812.01786

A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors

Authors: Zhang, Yichi, Tao, Siyu, Chen, Wei, Apley, Daniel W.

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1806.07504