Lucas Mentch

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 27

Top Topics

Quality Estimation

Ensemble Methods

Top Venues

J. Mach. Learn. Res.

Publications

Nicholas Kissel, Lucas Mentch
Forward stability and model path selection. Stat. Comput. 34 (2) (2024)
Siyu Zhou, Lucas Mentch
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest. Stat. Anal. Data Min. 16 (1) (2023)
Lucas Mentch, Siyu Zhou
Getting Better from Worse: Augmented Bagging and A Cautionary Tale of Variable Importance. J. Mach. Learn. Res. 23 (2022)
Tim Coleman, Wei Peng, Lucas Mentch
Scalable and Efficient Hypothesis Testing with Random Forests. J. Mach. Learn. Res. 23 (2022)
Siyu Zhou, Lucas Mentch
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest. CoRR (2021)
Zhengze Zhou, Lucas Mentch, Giles Hooker
V-statistics and Variance Estimation. J. Mach. Learn. Res. 22 (2021)
Lucas Mentch, Giles Hooker
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning. CoRR (2021)
Ashley C. Griffin, Lucas Mentch, Feng-Chang Lin, Arlene E. Chung
Precision VISSTA Study: mHealth Physical Activity Patterns and Patient-Reported Outcomes in Patients with Inflammatory Bowel Diseases. AMIA (2021)
Giles Hooker, Lucas Mentch, Siyu Zhou
Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance. Stat. Comput. 31 (6) (2021)
Lucas Mentch, Siyu Zhou
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance. CoRR (2020)
Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf
Posterior Calibrated Training on Sentence Classification Tasks. ACL (2020)
Lucas Mentch, Siyu Zhou
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success. J. Mach. Learn. Res. 21 (2020)
Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf
Posterior Calibrated Training on Sentence Classification Tasks. CoRR (2020)
Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch
Locally Optimized Random Forests. CoRR (2019)
Giles Hooker, Lucas Mentch
Please Stop Permuting Features: An Explanation and Alternatives. CoRR (2019)
Zhengze Zhou, Lucas Mentch, Giles Hooker
Asymptotic Normality and Variance Estimation For Supervised Ensembles. CoRR (2019)
Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard H. Hovy
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization. EMNLP/IJCNLP (1) (2019)
Tim Coleman, Lucas Mentch, Kimberly Glass, David Gotz, Nils Gehlenborg, Arlene E. Chung
Precision VISSTA: Machine Learning Prediction and Inference for Bring-Your-Own-Device (BYOD) mHealth Data. AMIA (2019)
Lucas Mentch, Siyu Zhou
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success. CoRR (2019)
Wei Peng, Tim Coleman, Lucas Mentch
Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners. CoRR (2019)
Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard H. Hovy
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization. CoRR (2019)
Arlene E. Chung, Kimberly Glass, Jacob Leisey-Bartsch, Lucas Mentch, Nils Gehlenborg, David Gotz
Precision VISSTA: Bring-Your-Own-Device (BYOD) mHealth Data for Precision Health. AMIA (2019)
Robin Richter, Carsten Gottschlich, Lucas Mentch, Duy Hoang Thai, Stephan F. Huckemann
Smudge Noise for Quality Estimation of Fingerprints and its Validation. IEEE Trans. Inf. Forensics Secur. 14 (8) (2019)
Duy Hoang Thai, Lucas Mentch
Multiphase segmentation for simultaneously homogeneous and textural images. Appl. Math. Comput. 335 (2018)
Giles Hooker, Lucas Mentch
Bootstrap bias corrections for ensemble methods. Stat. Comput. 28 (1) (2018)
Lucas Mentch, Giles Hooker
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests. J. Mach. Learn. Res. 17 (2016)
Duy Hoang Thai, Lucas Mentch
Multiphase Segmentation For Simultaneously Homogeneous and Textural Images. CoRR (2016)