Omar Rivasplata
6 papers · 2018–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot (3) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer
🐝
Cross-Pollinator
(15)
Conferences
NIPS (4)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
pac-bayes bound
(3)
representation learning
(1)
lottery ticket hypothesis
(1)
double descent
(1)
model selection
(1)
bayesian inference
(1)
expected risk
(1)
gradient descent
(1)
generalization error
(1)
gaussian priors
(1)
risk estimation
(1)
support vector machine
(1)
generalization bound
(1)
least square
(1)
stochastic learning
(1)
data-dependent prior
(1)
hypothesis stability
(1)
randomized predictor
(1)
neural network
(1)
probabilistic neural network
(1)
Papers
Generalization and Distributed Learning of GFlowNets
ICLR 2025
On the Role of Optimization in Double Descent: A Least Squares Study
NIPS 2021
Tighter Risk Certificates for Neural Networks
JMLR 2021
Logarithmic Pruning is All You Need
NIPS 2020
PAC-Bayes Analysis Beyond the Usual Bounds
NIPS 2020
PAC-Bayes bounds for stable algorithms with instance-dependent priors
NIPS 2018