Andrés R. Masegosa
5 papers · 2016–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory · Machine Learning
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Models
(2)
Optimization
(2)
Architectures
(1)
Core Methods
(1)
Optimization & Theory · Deep Learning
(1)
Statistics
(1)
Techniques
(1)
Keywords
variational inference
(2)
learning theory
(1)
bayesian inference
(1)
probabilistic modeling
(1)
deep learning
(1)
bayesian learning
(1)
approximate inference
(1)
statistical learning theory
(1)
probabilistic inference
(1)
distributed learning
(1)
representation learning
(1)
distributed computing
(1)
natural gradient
(1)
pac-bayes theory
(1)
map inference
(1)
message passing
(1)
simulated annealing
(1)
maximum a posteriori
(1)
variational message passing
(1)
statistical learning
(1)
Papers
PAC-Bayes-Chernoff bounds for unbounded losses
NeurIPS 2024
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
NeurIPS 2024
Probabilistic Graphical Models with Neural Networks in InferPy
PGM 2020
d-VMP: Distributed Variational Message Passing
PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016