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Probabilistic modelling of electronic health records

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Context Selection for Embedding Models

Author(s): Liping Liu; Francisco J. R. Ruiz; Susan Athey; David M. Blei
Published in: Advances in Neural Information Processing Systems, 2017
Publisher: NIPS Proceedings

Scalable Large-Scale Classification with Latent Variable Augmentation

Author(s): Francisco J. R. Ruiz; Michalis K. Titsias; David M. Blei
Published in: NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
Publisher: AABI Workshop Proceedings

Augment and Reduce: Stochastic Inference for Large Categorical Distributions

Author(s): Ruiz, Francisco J. R.; Titsias, Michalis K.; Dieng, Adji B.; Blei, David M.
Published in: International Conference on Machine Learning, 2018
Publisher: ICML Proceedings

Structured Embedding Models for Grouped Data

Author(s): Rudolph, Maja; Ruiz, Francisco; Athey, Susan; Blei, David
Published in: Advances in Neural Information Processing Systems, 2017
Publisher: NIPS Proceedings

Exponential Family Embeddings

Author(s): Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei
Published in: Advances in Neural Information Processing Systems, 2016
Publisher: NIPS Proceedings

The Generalized Reparameterization Gradient

Author(s): Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei
Published in: Advances in Neural Information Processing Systems, 2016
Publisher: NIPS Proceedings

Unbiased Implicit Variational Inference

Author(s): Michalis K. Titsias, Francisco J. R. Ruiz
Published in: International Conference on Artificial Intelligence and Statistics, 2019
Publisher: Proceedings of Machine Learning Research

A Contrastive Divergence for Combining Variational Inference and MCMC

Author(s): Francisco J. R. Ruiz, Michalis K. Titsias
Published in: 2019
Publisher: International Conference on Machine Learning

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

Author(s): Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, and David M. Blei
Published in: International Conference on Artificial Intelligence and Statistics, Issue 54, 2017, Page(s) 489-498
Publisher: Proceedings of Machine Learning Research (PMLR)

Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data

Author(s): Susan Athey, David Blei, Robert Donnelly, Francisco Ruiz, Tobias Schmidt
Published in: AEA Papers and Proceedings, Issue 108, 2018, Page(s) 64-67, ISSN 0000-0000
Publisher: NA
DOI: 10.1257/pandp.20181031

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

Author(s): Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Perez-Cruz
Published in: IEEE Transactions on Cognitive Communications and Networking, Issue 4/2, 2018, Page(s) 177-191, ISSN 2332-7731
Publisher: IEEE
DOI: 10.1109/TCCN.2018.2790976

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling

Author(s): Maryam Fatemi, Karl Granstrom, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
Published in: IEEE Transactions on Signal Processing, Issue 65/11, 2017, Page(s) 2814-2827, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TSP.2017.2675866

De novo gene signature identification from single‐cell RNA‐seq with hierarchical Poisson factorization

Author(s): Hanna Mendes Levitin, Jinzhou Yuan, Yim Ling Cheng, Francisco JR Ruiz, Erin C Bush, Jeffrey N Bruce, Peter Canoll, Antonio Iavarone, Anna Lasorella, David M Blei, Peter A Sims
Published in: Molecular Systems Biology, Issue 15/2, 2019, Page(s) e8557, ISSN 1744-4292
Publisher: Nature Publishing Group
DOI: 10.15252/msb.20188557

SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements

Author(s): Francisco J. R. Ruiz, Susan Athey, David M. Blei
Published in: Annals of Applied Statistics, 2019
Publisher: Annals of Applied Statistics

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