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ORCIDLucas K. Mentch
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2020 – today
- 2024
[j12]Nicholas Kissel, Lucas Mentch:
Forward stability and model path selection. Stat. Comput. 34(2): 82 (2024)- 2023
- [j11]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): 45-64 (2023) - 2022
- [j10]Tim Coleman, Wei Peng, Lucas Mentch:
Scalable and Efficient Hypothesis Testing with Random Forests. J. Mach. Learn. Res. 23: 170:1-170:35 (2022) - [j9]Lucas Mentch, Siyu Zhou:
Getting Better from Worse: Augmented Bagging and A Cautionary Tale of Variable Importance. J. Mach. Learn. Res. 23: 224:1-224:32 (2022) - 2021
- [j8]Zhengze Zhou, Lucas Mentch, Giles Hooker:
V-statistics and Variance Estimation. J. Mach. Learn. Res. 22: 287:1-287:48 (2021) - [j7]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): 82 (2021) - [c5]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 - [i11]Lucas Mentch, Giles Hooker:
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning. CoRR abs/2102.12328 (2021) - [i10]Siyu Zhou, Lucas Mentch:
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest. CoRR abs/2103.16700 (2021) - 2020
- [j6]Lucas Mentch, Siyu Zhou:
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success. J. Mach. Learn. Res. 21: 171:1-171:36 (2020) - [c4]Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf:
Posterior Calibrated Training on Sentence Classification Tasks. ACL 2020: 2723-2730 - [i9]Lucas Mentch, Siyu Zhou:
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance. CoRR abs/2003.03629 (2020) - [i8]Taehee Jung, Dongyeop Kang, Hua Cheng, Lucas Mentch, Thomas Schaaf:
Posterior Calibrated Training on Sentence Classification Tasks. CoRR abs/2004.14500 (2020)
2010 – 2019
- 2019
- [j5]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): 1963-1974 (2019) - [c3]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 - [c2]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 - [c1]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: 3322-3333 - [i7]Giles Hooker, Lucas Mentch:
Please Stop Permuting Features: An Explanation and Alternatives. CoRR abs/1905.03151 (2019) - [i6]Wei Peng, Tim Coleman, Lucas Mentch:
Asymptotic Distributions and Rates of Convergence for Random Forests and other Resampled Ensemble Learners. CoRR abs/1905.10651 (2019) - [i5]Tim Coleman, Kimberly Kaufeld, Mary Frances Dorn, Lucas Mentch:
Locally Optimized Random Forests. CoRR abs/1908.09967 (2019) - [i4]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 abs/1908.11723 (2019) - [i3]Lucas Mentch, Siyu Zhou:
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success. CoRR abs/1911.00190 (2019) - [i2]Zhengze Zhou, Lucas Mentch, Giles Hooker:
Asymptotic Normality and Variance Estimation For Supervised Ensembles. CoRR abs/1912.01089 (2019) - 2018
- [j4]Duy Hoang Thai, Lucas Mentch:
Multiphase segmentation for simultaneously homogeneous and textural images. Appl. Math. Comput. 335: 146-181 (2018) - [j3]Giles Hooker, Lucas Mentch:
Bootstrap bias corrections for ensemble methods. Stat. Comput. 28(1): 77-86 (2018) - 2016
- [j2]Lucas Mentch, Giles Hooker:
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests. J. Mach. Learn. Res. 17: 26:1-26:41 (2016) - [i1]Duy Hoang Thai, Lucas Mentch:
Multiphase Segmentation For Simultaneously Homogeneous and Textural Images. CoRR abs/1606.09281 (2016) - 2010
- [j1]Michael R. Frey, Amy L. Miller, Lucas K. Mentch, Jeffrey Graham:
Score operators of a qubit with applications. Quantum Inf. Process. 9(5): 629-641 (2010)
Coauthor Index
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