Lucas Mentch

27 papers A* 1Misc 3Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2024 J jnl
Forward stability and model path selection.
Stat. Comput.
Nicholas Kissel, Lucas Mentch
2023 J jnl
Trees, forests, chickens, and eggs: when and why to prune trees in a random forest.
Stat. Anal. Data Min.
Siyu Zhou, Lucas Mentch
2022 J jnl
Getting Better from Worse: Augmented Bagging and A Cautionary Tale of Variable Importance.
J. Mach. Learn. Res.
Lucas Mentch, Siyu Zhou
2022 J jnl
Scalable and Efficient Hypothesis Testing with Random Forests.
J. Mach. Learn. Res.
Tim Coleman, Wei Peng, Lucas Mentch
2021 J jnl
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning.
CoRR
Lucas Mentch, Giles Hooker
2021 Misc conf
Precision VISSTA Study: mHealth Physical Activity Patterns and Patient-Reported Outcomes in Patients with Inflammatory Bowel Diseases.
AMIA
Ashley C. Griffin, Lucas Mentch, Feng-Chang Lin, Arlene E. Chung
2021 J jnl
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest.
CoRR
Siyu Zhou, Lucas Mentch
2021 J jnl
Unrestricted permutation forces extrapolation: variable importance requires at least one more model, or there is no free variable importance.
Stat. Comput.
Giles Hooker, Lucas Mentch, Siyu Zhou
2021 J jnl
V-statistics and Variance Estimation.
J. Mach. Learn. Res.
Zhengze Zhou, Lucas Mentch, Giles Hooker
2020 J jnl
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance.
CoRR
Lucas Mentch, Siyu Zhou
2020 A* conf
Posterior Calibrated Training on Sentence Classification Tasks.
ACL
Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf
2020 J jnl
Posterior Calibrated Training on Sentence Classification Tasks.
CoRR
Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf
2020 J jnl
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success.
J. Mach. Learn. Res.
Lucas Mentch, Siyu Zhou
2019 J jnl
Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners.
CoRR
Wei Peng, Tim Coleman, Lucas Mentch
2019 J jnl
Asymptotic Normality and Variance Estimation For Supervised Ensembles.
CoRR
Zhengze Zhou, Lucas Mentch, Giles Hooker
2019 — conf
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization.
EMNLP/IJCNLP (1)
Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard H. Hovy
2019 J jnl
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization.
CoRR
Taehee Jung, Dongyeop Kang, Lucas Mentch, Eduard H. Hovy
2019 J jnl
Locally Optimized Random Forests.
CoRR
Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch
2019 J jnl
Please Stop Permuting Features: An Explanation and Alternatives.
CoRR
Giles Hooker, Lucas Mentch
2019 Misc conf
Precision VISSTA: Bring-Your-Own-Device (BYOD) mHealth Data for Precision Health.
AMIA
Arlene E. Chung, Kimberly Glass, Jacob Leisey-Bartsch, Lucas Mentch, Nils Gehlenborg, David Gotz
2019 Misc conf
Precision VISSTA: Machine Learning Prediction and Inference for Bring-Your-Own-Device (BYOD) mHealth Data.
AMIA
Tim Coleman, Lucas Mentch, Kimberly Glass, David Gotz, Nils Gehlenborg, Arlene E. Chung
2019 J jnl
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success.
CoRR
Lucas Mentch, Siyu Zhou
2019 J jnl
Smudge Noise for Quality Estimation of Fingerprints and its Validation.
IEEE Trans. Inf. Forensics Secur.
Robin Richter, Carsten Gottschlich, Lucas Mentch, Duy Hoang Thai, Stephan F. Huckemann
2018 J jnl
Bootstrap bias corrections for ensemble methods.
Stat. Comput.
Giles Hooker, Lucas Mentch
2018 J jnl
Multiphase segmentation for simultaneously homogeneous and textural images.
Appl. Math. Comput.
Duy Hoang Thai, Lucas Mentch
2016 J jnl
Multiphase Segmentation For Simultaneously Homogeneous and Textural Images.
CoRR
Duy Hoang Thai, Lucas Mentch
2016 J jnl
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests.
J. Mach. Learn. Res.
Lucas Mentch, Giles Hooker