Paul Blomstedt

According to our database1, Paul Blomstedt authored at least 10 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Federated stochastic gradient Langevin dynamics.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data.
J. Mach. Learn. Res., 2020

Variance reduction for distributed stochastic gradient MCMC.
CoRR, 2020

A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Distributed Bayesian matrix factorization with limited communication.
Mach. Learn., 2019

Embarrassingly Parallel MCMC using Deep Invertible Transformations.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Scalable Bayesian Non-linear Matrix Completion.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
Distributed Bayesian Matrix Factorization with Minimal Communication.
CoRR, 2017

2016
Modelling-based experiment retrieval: a case study with gene expression clustering.
Bioinform., 2016

2015
A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type.
IEEE Trans. Pattern Anal. Mach. Intell., 2015


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