Francisco J. R. Ruiz
Francisco J. R. Ruiz
Research Scientist at Deepmind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
The generalized reparameterization gradient
FR Ruiz, TRC AUEB, D Blei
Advances in neural information processing systems 29, 460-468, 2016
1422016
Exponential family embeddings
M Rudolph
Columbia University, 2018
1152018
Bayesian nonparametric poisson factorization for recommendation systems
P Gopalan, FJ Ruiz, R Ranganath, D Blei
Artificial Intelligence and Statistics, 275-283, 2014
1132014
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
972020
Reparameterization gradients through acceptance-rejection sampling algorithms
C Naesseth, F Ruiz, S Linderman, D Blei
Artificial Intelligence and Statistics, 489-498, 2017
832017
Estimating heterogeneous consumer preferences for restaurants and travel time using mobile location data
S Athey, D Blei, R Donnelly, F Ruiz, T Schmidt
AEA Papers and Proceedings 108, 64-67, 2018
642018
Shopper: A probabilistic model of consumer choice with substitutes and complements
FJR Ruiz, S Athey, DM Blei
The Annals of Applied Statistics 14 (1), 1-27, 2020
532020
De novo gene signature identification from single‐cell RNA‐seq with hierarchical Poisson factorization
HM Levitin, J Yuan, YL Cheng, FJR Ruiz, EC Bush, JN Bruce, P Canoll, ...
Molecular systems biology 15 (2), e8557, 2019
492019
Overdispersed black-box variational inference
FJR Ruiz, MK Titsias, DM Blei
arXiv preprint arXiv:1603.01140, 2016
422016
A generative model for predicting outcomes in college basketball
FJR Ruiz, F Perez-Cruz
Journal of Quantitative Analysis in Sports 11 (1), 39-52, 2015
382015
Structured embedding models for grouped data
M Rudolph, F Ruiz, S Athey, D Blei
arXiv preprint arXiv:1709.10367, 2017
372017
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
352019
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
332019
A contrastive divergence for combining variational inference and mcmc
F Ruiz, M Titsias
International Conference on Machine Learning, 5537-5545, 2019
332019
Poisson multi-Bernoulli mapping using Gibbs sampling
M Fatemi, K Granström, L Svensson, FJR Ruiz, L Hammarstrand
IEEE Transactions on Signal Processing 65 (11), 2814-2827, 2017
332017
Bayesian nonparametric comorbidity analysis of psychiatric disorders
FJR Ruiz, I Valera, C Blanco, F Perez-Cruz
Journal of Machine Learning Research 15, 1215-1247, 2014
332014
Unbiased implicit variational inference
MK Titsias, F Ruiz
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
262019
Augment and reduce: Stochastic inference for large categorical distributions
F Ruiz, M Titsias, AB Dieng, D Blei
International Conference on Machine Learning, 4403-4412, 2018
252018
Infinite factorial dynamical model
I Valera, F Ruiz, L Svensson, F Perez-Cruz
Advances in Neural Information Processing Systems 28, 1666-1674, 2015
252015
Infinite factorial unbounded-state hidden Markov model
I Valera, FJR Ruiz, F Perez-Cruz
IEEE transactions on pattern analysis and machine intelligence 38 (9), 1816-1828, 2015
192015
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