Antonio Salmerón
6 papers · 2016–2024 · 2 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🗺️ Taxonomy Completionist (13) 🧭 Keyword Pioneer
🌍
Conference Polyglot
(2)
🏃
Academic Marathon
(8)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
PGM (5)
ICML (1)
Top co-authors
Keywords
variational inference
(3)
bayesian network
(2)
conjugate exponential model
(2)
em algorithm
(1)
distributed learning
(1)
deep learning
(1)
distributed computing
(1)
natural gradient
(1)
map inference
(1)
message passing
(1)
simulated annealing
(1)
maximum a posteriori
(1)
variational message passing
(1)
scalable inference
(1)
probabilistic model
(1)
data stream
(1)
mixture model
(1)
scalable optimization
(1)
hierarchical prior
(1)
temporal drift
(1)
Papers
A Divide and Conquer Approach for Solving Structural Causal Models
PGM 2024
A Reparameterization of Mixtures of Truncated Basis Functions and its Applications
PGM 2022
Probabilistic Graphical Models with Neural Networks in InferPy
PGM 2020
Bayesian Models of Data Streams with Hierarchical Power Priors
ICML 2017
d-VMP: Distributed Variational Message Passing
PGM 2016
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach
PGM 2016