Lucas K. Mentch

According to our database, Lucas K. Mentch authored at least 22 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Forward stability and model path selection.

Nicholas Kissel, Lucas Mentch

Stat. Comput., April, 2024

2023

Trees, forests, chickens, and eggs: when and why to prune trees in a random forest.

Siyu Zhou, Lucas Mentch

Stat. Anal. Data Min., February, 2023

2022

Getting Better from Worse: Augmented Bagging and A Cautionary Tale of Variable Importance.

Lucas Mentch, Siyu Zhou

J. Mach. Learn. Res., 2022

Scalable and Efficient Hypothesis Testing with Random Forests.

Tim Coleman, Wei Peng, Lucas Mentch

J. Mach. Learn. Res., 2022

2021

Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance.

Giles Hooker, Lucas Mentch, Siyu Zhou

Stat. Comput., 2021

V-statistics and Variance Estimation.

Zhengze Zhou, Lucas Mentch, Giles Hooker

J. Mach. Learn. Res., 2021

Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning.

Lucas Mentch, Giles Hooker

CoRR, 2021

Precision VISSTA Study: mHealth Physical Activity Patterns and Patient-Reported Outcomes in Patients with Inflammatory Bowel Diseases.

Ashley C. Griffin, Lucas Mentch, Feng-Chang Lin, Arlene E. Chung

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success.

Lucas Mentch, Siyu Zhou

J. Mach. Learn. Res., 2020

Posterior Calibrated Training on Sentence Classification Tasks.

Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Smudge Noise for Quality Estimation of Fingerprints and its Validation.

Robin Richter, Carsten Gottschlich, Lucas Mentch, Duy Hoang Thai, Stephan F. Huckemann

IEEE Trans. Inf. Forensics Secur., 2019

Asymptotic Normality and Variance Estimation For Supervised Ensembles.

Zhengze Zhou, Lucas Mentch, Giles Hooker

CoRR, 2019

Locally Optimized Random Forests.

Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch

CoRR, 2019

Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners.

Wei Peng, Tim Coleman, Lucas Mentch

CoRR, 2019

Please Stop Permuting Features: An Explanation and Alternatives.

Giles Hooker, Lucas Mentch

CoRR, 2019

Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization.

Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard H. Hovy

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Precision VISSTA: Machine Learning Prediction and Inference for Bring-Your-Own-Device (BYOD) mHealth Data.

Tim Coleman, Lucas Mentch, Kimberly Glass, David Gotz, Nils Gehlenborg, Arlene E. Chung

Proceedings of the AMIA 2019, 2019

Precision VISSTA: Bring-Your-Own-Device (BYOD) mHealth Data for Precision Health.

Arlene E. Chung, Kimberly Glass, Jacob Leisey-Bartsch, Lucas Mentch, Nils Gehlenborg, David Gotz

Proceedings of the AMIA 2019, 2019

2018

Bootstrap bias corrections for ensemble methods.

Giles Hooker, Lucas Mentch

Stat. Comput., 2018

Multiphase segmentation for simultaneously homogeneous and textural images.

Duy Hoang Thai, Lucas Mentch

Appl. Math. Comput., 2018

2016

Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests.

Lucas Mentch, Giles Hooker

J. Mach. Learn. Res., 2016

2010

Score operators of a qubit with applications.

Michael R. Frey, Amy L. Miller, Lucas K. Mentch, Jeffrey Graham

Quantum Inf. Process., 2010