Willem Waegeman
10 papers · 2011–2026 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Pioneer
🗃️
Keyword Collector
(54)
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Trend Setter
💎
Century Club · Bronze
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The Questioner
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Conference Pioneer
Top co-authors
Research topics
Keywords
epistemic uncertainty
(5)
multi-label classification
(3)
uncertainty quantification
(3)
structured output prediction
(2)
f-measure optimization
(2)
aleatoric uncertainty
(2)
second-order learner
(2)
loss minimisation
(2)
probabilistic modeling
(2)
ensemble learning
(1)
preference learning
(1)
binary classification
(1)
multi-class classification
(1)
model selection
(1)
probability calibration
(1)
exact algorithm
(1)
f-measure maximization
(1)
hierarchical classification
(1)
mallows model
(1)
convergence
(1)
Papers
Optimal Conformal Prediction under Epistemic Uncertainty
UAI 2026
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
ICML 2024
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
ICML 2023
On the Calibration of Probabilistic Classifier Sets
AISTATS 2023
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
NeurIPS 2022
Set-valued prediction in hierarchical classification with constrained representation complexity
UAI 2022
On the Bayes-Optimality of F-Measure Maximizers
JMLR 2014
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
ICML 2013
Label Ranking with Partial Abstention based on Thresholded Probabilistic Models
NeurIPS 2012
An Exact Algorithm for F-Measure Maximization
NeurIPS 2011