Lucas Mentch
7 papers · 2016–2022 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
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Research topics
Keywords
random forest
(5)
ensemble learning
(2)
hypothesis testing
(2)
asymptotic normality
(2)
ensemble method
(2)
noise feature
(1)
signal-to-noise ratio
(1)
variance estimation
(1)
probability calibration
(1)
posterior probability
(1)
variable importance
(1)
system bia
(1)
augmented bagging
(1)
implicit regularization
(1)
confidence interval
(1)
position bia
(1)
calibration error
(1)
text classification
(1)
sentence classification
(1)
feature significance
(1)
Papers
Getting Better from Worse: Augmented Bagging and A Cautionary Tale of Variable Importance
JMLR 2022
Scalable and Efficient Hypothesis Testing with Random Forests
JMLR 2022
V-statistics and Variance Estimation
JMLR 2021
Posterior Calibrated Training on Sentence Classification Tasks
ACL 2020
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
JMLR 2020
Earlier Isn’t Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
EMNLP 2019
Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests
JMLR 2016