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Francisco J. R. Ruiz
Francisco J. R. Ruiz
Research Scientist at Deepmind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
1972020
The generalized reparameterization gradient
FR Ruiz, TRC AUEB, D Blei
Advances in neural information processing systems 29, 2016
1472016
Exponential family embeddings
M Rudolph, F Ruiz, S Mandt, D Blei
Advances in Neural Information Processing Systems 29, 2016
1252016
Bayesian nonparametric poisson factorization for recommendation systems
P Gopalan, FJ Ruiz, R Ranganath, D Blei
Artificial Intelligence and Statistics, 275-283, 2014
1152014
Reparameterization gradients through acceptance-rejection sampling algorithms
C Naesseth, F Ruiz, S Linderman, D Blei
Artificial Intelligence and Statistics, 489-498, 2017
952017
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
732018
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
712020
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
582019
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
572019
A contrastive divergence for combining variational inference and mcmc
F Ruiz, M Titsias
International Conference on Machine Learning, 5537-5545, 2019
492019
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
462019
Overdispersed black-box variational inference
FJR Ruiz, MK Titsias, DM Blei
arXiv preprint arXiv:1603.01140, 2016
452016
Structured embedding models for grouped data
M Rudolph, F Ruiz, S Athey, D Blei
Advances in neural information processing systems 30, 2017
442017
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
412015
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
402017
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
352014
Unbiased implicit variational inference
MK Titsias, F Ruiz
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
342019
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
262018
Infinite factorial dynamical model
I Valera, F Ruiz, L Svensson, F Perez-Cruz
Advances in Neural Information Processing Systems 28, 2015
252015
Counterfactual inference for consumer choice across many product categories
R Donnelly, FJR Ruiz, D Blei, S Athey
Quantitative Marketing and Economics, 1-39, 2021
222021
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Articles 1–20