Eduardo Laber

6 papers · 2014–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (4) NeurIPS (2)

Top co-authors

Ferdinando Cicalese (4) Marco Molinaro (3) Lucas Murtinho (2) Felipe Mello Pereira (1) Aline Medeiros Saettler (1) Sergio Filho (1) Victor Feitosa Souza (1)

Research topics

Machine Learning (6) Core Methods (5) Optimization & Theory (3) Mathematics & Optimization (2) Learning Types (2) Artificial Intelligence (1) Healthcare & Medicine (1) Clinical (1) Core AI (1) Mathematics (1) Optimization (1)

Keywords

decision tree (3) approximation guarantee (2) interactive learning (1) rule-based learning (1) worst-case analysis (1) cost-sensitive learning (1) machine teaching (1) approximation algorithm (1) information theoretic clustering (1) random forest (1) minimum spanning tree (1) gini impurity (1) automatic diagnosis (1) impurity measure (1) gini index (1) black-box learner (1) worst-case cost (1) inter-group criterion (1) minimum spacing (1) tree depth (1)

Papers

Optimization of Inter-group criteria for clustering with minimum size constraints NeurIPS 2023 Decision Trees with Short Explainable Rules NeurIPS 2022 Teaching with Limited Information on the Learner’s Behaviour ICML 2020 New results on information theoretic clustering ICML 2019 Binary Partitions with Approximate Minimum Impurity ICML 2018 Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost ICML 2014