Andrés R. Masegosa
5 papers · 2016–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer
🌍
Conference Polyglot
(2)
🏃
Academic Marathon
(8)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
PGM (3)
NIPS (2)
Top co-authors
Research topics
Keywords
variational inference
(2)
representation learning
(1)
learning theory
(1)
approximate inference
(1)
probabilistic modeling
(1)
bayesian learning
(1)
bayesian inference
(1)
statistical learning theory
(1)
probabilistic inference
(1)
distributed learning
(1)
deep 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)
scalable inference
(1)
Papers
PAC-Bayes-Chernoff bounds for unbounded losses
NIPS 2024
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
NIPS 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