Probabilistic modelling of electronic health records

Context Selection for Embedding Models

Autori: Liping Liu; Francisco J. R. Ruiz; Susan Athey; David M. Blei
Pubblicato in: Advances in Neural Information Processing Systems, 2017
Editore: NIPS Proceedings

Scalable Large-Scale Classification with Latent Variable Augmentation

Autori: Francisco J. R. Ruiz; Michalis K. Titsias; David M. Blei
Pubblicato in: NIPS Workshop on Advances in Approximate Bayesian Inference, 2017
Editore: AABI Workshop Proceedings

Augment and Reduce: Stochastic Inference for Large Categorical Distributions

Autori: Ruiz, Francisco J. R.; Titsias, Michalis K.; Dieng, Adji B.; Blei, David M.
Pubblicato in: International Conference on Machine Learning, 2018
Editore: ICML Proceedings

Structured Embedding Models for Grouped Data

Autori: Rudolph, Maja; Ruiz, Francisco; Athey, Susan; Blei, David
Pubblicato in: Advances in Neural Information Processing Systems, 2017
Editore: NIPS Proceedings

Exponential Family Embeddings

Autori: Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei
Pubblicato in: Advances in Neural Information Processing Systems, 2016
Editore: NIPS Proceedings

The Generalized Reparameterization Gradient

Autori: Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei
Pubblicato in: Advances in Neural Information Processing Systems, 2016
Editore: NIPS Proceedings

Unbiased Implicit Variational Inference

Autori: Michalis K. Titsias, Francisco J. R. Ruiz
Pubblicato in: International Conference on Artificial Intelligence and Statistics, 2019
Editore: Proceedings of Machine Learning Research

A Contrastive Divergence for Combining Variational Inference and MCMC

Autori: Francisco J. R. Ruiz, Michalis K. Titsias
Pubblicato in: 2019
Editore: International Conference on Machine Learning

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms

Autori: Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, and David M. Blei
Pubblicato in: International Conference on Artificial Intelligence and Statistics, Numero 54, 2017, Pagina/e 489-498
Editore: Proceedings of Machine Learning Research (PMLR)

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

Autori: Susan Athey, David Blei, Robert Donnelly, Francisco Ruiz, Tobias Schmidt
Pubblicato in: AEA Papers and Proceedings, Numero 108, 2018, Pagina/e 64-67, ISSN 0000-0000
Editore: NA
DOI: 10.1257/pandp.20181031

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

Autori: Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Perez-Cruz
Pubblicato in: IEEE Transactions on Cognitive Communications and Networking, Numero 4/2, 2018, Pagina/e 177-191, ISSN 2332-7731
Editore: IEEE
DOI: 10.1109/TCCN.2018.2790976

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling

Autori: Maryam Fatemi, Karl Granstrom, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand
Pubblicato in: IEEE Transactions on Signal Processing, Numero 65/11, 2017, Pagina/e 2814-2827, ISSN 1053-587X
Editore: 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

Autori: 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
Pubblicato in: Molecular Systems Biology, Numero 15/2, 2019, Pagina/e e8557, ISSN 1744-4292
Editore: Nature Publishing Group
DOI: 10.15252/msb.20188557

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

Autori: Francisco J. R. Ruiz, Susan Athey, David M. Blei
Pubblicato in: Annals of Applied Statistics, 2019
Editore: Annals of Applied Statistics

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