Omar Rivasplata
6 papers · 2018–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🗺️
Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Keywords
pac-bayes bound
(3)
generalization bound
(2)
lottery ticket hypothesis
(1)
double descent
(1)
model selection
(1)
bayesian inference
(1)
distributed learning
(1)
expected risk
(1)
gradient descent
(1)
generalization error
(1)
gaussian priors
(1)
risk estimation
(1)
support vector machine
(1)
generative flow network
(1)
least square
(1)
stochastic learning
(1)
data-dependent prior
(1)
hypothesis stability
(1)
mode coverage
(1)
randomized predictor
(1)
Papers
Generalization and Distributed Learning of GFlowNets
ICLR 2025
On the Role of Optimization in Double Descent: A Least Squares Study
NeurIPS 2021
Tighter Risk Certificates for Neural Networks
JMLR 2021
Logarithmic Pruning is All You Need
NeurIPS 2020
PAC-Bayes Analysis Beyond the Usual Bounds
NeurIPS 2020
PAC-Bayes bounds for stable algorithms with instance-dependent priors
NeurIPS 2018