Pierre Geurts
7 papers · 2003–2021 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🌟
Keyword Trendsetter Combo
(6)
📈
Trend Setter
Venues
Top co-authors
Research topics
Keywords
feature selection
(3)
mean decrease impurity
(2)
tree-based method
(2)
tree ensemble
(2)
random forest
(2)
variable importance
(2)
feature relevance
(2)
randomized tree
(2)
policy extraction
(1)
ensemble learning
(1)
positive-unlabeled learning
(1)
shapley value
(1)
random subspace
(1)
regression tree
(1)
statistical hypothesis test
(1)
ensemble compression
(1)
memory compression
(1)
q-function approximation
(1)
feature-based scoring
(1)
enrichment analysis
(1)
Papers
From global to local MDI variable importances for random forests and when they are Shapley values
NeurIPS 2021
Random Subspace with Trees for Feature Selection Under Memory Constraints
AISTATS 2018
Globally Induced Forest: A Prepruning Compression Scheme
ICML 2017
Understanding variable importances in forests of randomized trees
NeurIPS 2013
Learning from positive and unlabeled examples by enforcing statistical significance
AISTATS 2011
Tree-Based Batch Mode Reinforcement Learning
JMLR 2005
Exploiting tree-based variable importances to selectively identify relevant variables
AISTATS 2003