Francisco J. R. Ruiz
Francisco J. R. Ruiz
Research Scientist at Deepmind
Zweryfikowany adres z google.com - Strona główna
Cytowane przez
Cytowane przez
Topic modeling in embedding spaces
AB Dieng, FJR Ruiz, DM Blei
Transactions of the Association for Computational Linguistics 8, 439-453, 2020
The generalized reparameterization gradient
FR Ruiz, TRC AUEB, D Blei
Advances in neural information processing systems 29, 2016
Shopper: A probabilistic model of consumer choice with substitutes and complements
FJR Ruiz, S Athey, DM Blei
Exponential family embeddings
M Rudolph, F Ruiz, S Mandt, D Blei
Advances in Neural Information Processing Systems 29, 2016
Bayesian nonparametric poisson factorization for recommendation systems
P Gopalan, FJ Ruiz, R Ranganath, D Blei
Artificial Intelligence and Statistics, 275-283, 2014
Reparameterization gradients through acceptance-rejection sampling algorithms
C Naesseth, F Ruiz, S Linderman, D Blei
Artificial Intelligence and Statistics, 489-498, 2017
The dynamic embedded topic model
AB Dieng, FJR Ruiz, DM Blei
arXiv preprint arXiv:1907.05545, 2019
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
Discovering faster matrix multiplication algorithms with reinforcement learning
A Fawzi, M Balog, A Huang, T Hubert, B Romera-Paredes, M Barekatain, ...
Nature 610 (7930), 47-53, 2022
A contrastive divergence for combining variational inference and mcmc
F Ruiz, M Titsias
International Conference on Machine Learning, 5537-5545, 2019
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
Prescribed generative adversarial networks
AB Dieng, FJR Ruiz, DM Blei, MK Titsias
arXiv preprint arXiv:1910.04302, 2019
Overdispersed black-box variational inference
FJR Ruiz, MK Titsias, DM Blei
arXiv preprint arXiv:1603.01140, 2016
Structured embedding models for grouped data
M Rudolph, F Ruiz, S Athey, D Blei
Advances in neural information processing systems 30, 2017
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
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
Unbiased implicit variational inference
MK Titsias, F Ruiz
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
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
Counterfactual inference for consumer choice across many product categories
R Donnelly, FJR Ruiz, D Blei, S Athey
Quantitative Marketing and Economics, 1-39, 2021
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
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20