Emilio Parrado-hernández
5 papers · 2006–2026 · 3 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (11) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird 🏆 Keyword Champion
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Keyword Pioneer
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Conference Pioneer
Venues
Top co-authors
Research topics
Keywords
pac-bayes bound
(3)
support vector machine
(3)
generalization bound
(3)
prior distribution
(2)
hyperparameter estimation
(1)
cross validation
(1)
pac-bayes theory
(1)
generalization error
(1)
machine learning
(1)
classification algorithm
(1)
gaussian priors
(1)
quadratic programming
(1)
risk estimation
(1)
0-1 loss
(1)
learning algorithm
(1)
hyperparameter selection
(1)
hypothesis stability
(1)
machine learning theory
(1)
neural network
(1)
mathematical programming
(1)
Papers
Advances in PAC-Bayesian certification of deep neural networks: tighter closed-form inequalities and optimization of bounds on non-differentiable losses
UAI 2026
PAC-Bayes bounds for stable algorithms with instance-dependent priors
NeurIPS 2018
PAC-Bayes Bounds with Data Dependent Priors
JMLR 2012
The Interplay of Optimization and Machine Learning Research
JMLR 2006
Tighter PAC-Bayes Bounds
NeurIPS 2006