Mikael Skoglund
4 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
statistical learning
(2)
learning theory
(2)
representation learning
(1)
sample complexity
(1)
distributed optimization
(1)
mutual information
(1)
gradient descent
(1)
generalization error
(1)
relative entropy
(1)
stochastic convex optimization
(1)
representative sampling
(1)
generalization bound
(1)
pac-bayes bound
(1)
loss function
(1)
data selection
(1)
information-theoretic bound
(1)
dataset compression
(1)
sufficient dataset
(1)
information theory
(1)
expected generalization error
(1)
Papers
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime validity
JMLR 2024
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
ALT 2023
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NeurIPS 2021
Learning and Data Selection in Big Datasets
ICML 2019