Willem Waegeman
9 papers · 2011–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (13) π Interdisciplinary Bridge π Conference Polyglot (5) π§ Keyword Pioneer π Cross-Pollinator (11)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Keyword Champion
π
Conference Pioneer
β
The Questioner
π
Trend Setter
Conferences
ICML (3)
NIPS (3)
AISTATS (1)
JMLR (1)
UAI (1)
Top co-authors
Keywords
uncertainty quantification
(3)
multi-label classification
(3)
epistemic uncertainty
(3)
structured output prediction
(2)
aleatoric uncertainty
(2)
probabilistic modeling
(2)
f-measure optimization
(2)
loss minimisation
(2)
second-order learner
(2)
structured prediction
(1)
multi-class classification
(1)
ensemble learning
(1)
model selection
(1)
mallows model
(1)
preference learning
(1)
label ranking
(1)
binary classification
(1)
plackett-luce model
(1)
probability calibration
(1)
exact algorithm
(1)
Papers
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
ICML 2024
On the Calibration of Probabilistic Classifier Sets
AISTATS 2023
On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
ICML 2023
Set-valued prediction in hierarchical classification with constrained representation complexity
UAI 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
NIPS 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
NIPS 2012
An Exact Algorithm for F-Measure Maximization
NIPS 2011