Lucas Mentch
8 papers · 2016–2022 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Conference Polyglot (4)
π
Academic Marathon
(6)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(5)
π
Keyword Champion
(2)
π
Trend Setter
Conferences
JMLR (5)
ACL (1)
EMNLP (1)
IJCNLP (1)
Top co-authors
Keywords
random forest
(3)
asymptotic normality
(2)
ensemble method
(2)
corpus bia
(2)
hypothesis testing
(2)
position bia
(2)
text summarization
(2)
neural summarization
(2)
calibration error
(1)
sentence classification
(1)
feature significance
(1)
permutation test
(1)
supervised learning ensemble
(1)
training procedure
(1)
corpus analysis
(1)
importance scoring
(1)
posterior calibration
(1)
sub-aspect analysis
(1)
sentence position
(1)
ensemble learning
(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
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
JMLR 2020
Posterior Calibrated Training on Sentence Classification Tasks
ACL 2020
Earlier Isnβt Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization
IJCNLP 2019
Earlier Isnβt 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