20152020

Research output per year

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Research Output

  • 9 Article
  • 2 Conference contribution
  • 1 Working paper
2020

Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

Vehtari, A., Gelman, A., Sivula, T., Jylanki, P., Tran, D., Sahai, S., Blomstedt, P., Cunningham, J. P., Schiminovich, D. & Robert, C. P., 2020, In : Journal of Machine Learning Research. 21, p. 1-53 53 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
55 Downloads (Pure)
2019

Distributed Bayesian matrix factorization with limited communication

Qin, X., Blomstedt, P., Leppäaho, E., Parviainen, P. & Kaski, S., 1 Jan 2019, In : Machine Learning. p. 1-26

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
1 Citation (Scopus)
103 Downloads (Pure)

Embarrassingly parallel MCMC using deep invertible transformations

Mesquita, D., Blomstedt, P. & Kaski, S., 2019, 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019) . AUAI Press

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access

Meta-analysis of Bayesian analyses

Blomstedt, P., Parente Paiva Mesquita, D., Lintusaari, J., Sivula, T., Corander, J. & Kaski, S., 2019, (Submitted) In : Submitted.

Research output: Contribution to journalArticleScientificpeer-review

Scalable Bayesian non-linear matrix completion

Qin, X., Blomstedt, P. & Kaski, S., 1 Jan 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). p. 3275-3281 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
2017

Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data

Gelman, A., Vehtari, A., Jylänki, P., Sivula, T., Tran, D., Sahai, S., Blomstedt, P., Cunningham, J. P., Schiminovich, D. & Robert, C., 2017, (Submitted) In : arXiv.org.

Research output: Contribution to journalArticleScientific

File

Resolving outbreak dynamics using Approximate Bayesian Computation for stochastic birth-death models

Lintusaari, J., Blomstedt, P., Sivula, T., Gutmann, M. U., Kaski, S. & Corander, J., 2017, In : bioRxiv. 11 p.

Research output: Contribution to journalArticleScientific

2016

Modelling-based experiment retrieval: A case study with gene expression clustering

Blomstedt, P., Dutta, R., Seth, S., Brazma, A. & Kaski, S., 1 May 2016, In : Bioinformatics. 32, 9, p. 1388-1394 7 p.

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
2015

A Bayesian Predictive Model for Clustering Data of Mixed Discrete and Continuous Type

Blomstedt, P., Tang, J., Xiong, J., Granlund, C. & Corander, J., 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 3, p. 489-498

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)

General state-space population dynamics model for Bayesian stock assessment

Mantyniemi, S. H. P., Whitlock, R. E., Perala, T. A., Blomstedt, P. A., Vanhatalo, J. P., Rincon, M. M., Kuparinen, A. K., Pulkkinen, H. P. & Sakari Kuikka, O., 2015, In : ICES Journal of Marine Science. 72, 8, p. 2209-2222 14 p.

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)

Posterior Predictive Comparisons for the Two-sample Problem

Blomstedt, P. & Corander, J., 2015, In : COMMUNICATIONS IN STATISTICS: THEORY AND METHODS. 44, 2, p. 376-389

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)