Francisco J. R. Ruiz

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David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Susan AtheyThe Economics of Technology Professor, Stanford University Graduate School of BusinessAdresse e-mail validée de stanford.edu
Fernando Perez-CruzSr Adviser, Innovation at Bank for International SettlementsAdresse e-mail validée de bis.org
Michalis TitsiasDeepMindAdresse e-mail validée de google.com
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsAdresse e-mail validée de cs.uni-saarland.de
Scott LindermanStanford UniversityAdresse e-mail validée de stanford.edu
Lennart SvenssonProfessor in Signal Processing, Chalmers University of TechnologyAdresse e-mail validée de chalmers.se
Christian A. NaessethAssistant Professor, University of AmsterdamAdresse e-mail validée de uva.nl
Prem GopalanCTO, The Voleon GroupAdresse e-mail validée de cs.princeton.edu
Stephan MandtAssociate Professor, University of California, IrvineAdresse e-mail validée de uci.edu
Rajesh RanganathAssistant Professor, NYUAdresse e-mail validée de cs.princeton.edu
Dustin TranResearch Scientist, GoogleAdresse e-mail validée de google.com
Pablo M. OlmosUniversity Carlos III de MadridAdresse e-mail validée de tsc.uc3m.es

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Francisco J. R. Ruiz

Research Scientist at Deepmind

Adresse e-mail validée de google.com - Page d'accueil

machine learning approximate inference variational methods bayesian non parametrics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Topic modeling in embedding spaces AB Dieng, FJR Ruiz, DM Blei Transactions of the Association for Computational Linguistics 8, 439-453, 2020	790	2020
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	615	2022
SHOPPER FJR Ruiz, S Athey, DM Blei The Annals of Applied Statistics 14 (1), 1-27, 2020	294	2020
The generalized reparameterization gradient FR Ruiz, TRC AUEB, D Blei Advances in neural information processing systems 29, 2016	201	2016
Exponential family embeddings M Rudolph, F Ruiz, S Mandt, D Blei Advances in Neural Information Processing Systems 29, 2016	159	2016
Counterfactual inference for consumer choice across many prod-uct categories S Athey, D Blei, R Donnelly, F Ruiz AEA Pap. Proc. 108, 64-67, 2017	145	2017
The dynamic embedded topic model AB Dieng, FJR Ruiz, DM Blei arXiv preprint arXiv:1907.05545, 2019	141	2019
Reparameterization gradients through acceptance-rejection sampling algorithms C Naesseth, F Ruiz, S Linderman, D Blei Artificial Intelligence and Statistics, 489-498, 2017	132	2017
Bayesian nonparametric poisson factorization for recommendation systems P Gopalan, FJ Ruiz, R Ranganath, D Blei Artificial Intelligence and Statistics, 275-283, 2014	126	2014
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	111	2018
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	106	2019
A contrastive divergence for combining variational inference and mcmc F Ruiz, M Titsias International Conference on Machine Learning, 5537-5545, 2019	86	2019
Prescribed generative adversarial networks AB Dieng, FJR Ruiz, DM Blei, MK Titsias arXiv preprint arXiv:1910.04302, 2019	70	2019
Unbiased implicit variational inference MK Titsias, F Ruiz The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	65	2019
Structured embedding models for grouped data M Rudolph, F Ruiz, S Athey, D Blei Advances in neural information processing systems 30, 2017	55	2017
Overdispersed black-box variational inference FJR Ruiz, MK Titsias, DM Blei arXiv preprint arXiv:1603.01140, 2016	55	2016
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	53	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	53	2015
VarGrad: a low-variance gradient estimator for variational inference L Richter, A Boustati, N Nüsken, F Ruiz, OD Akyildiz Advances in Neural Information Processing Systems 33, 13481-13492, 2020	42	2020
Counterfactual inference for consumer choice across many product categories R Donnelly, FJR Ruiz, D Blei, S Athey Quantitative Marketing and Economics, 1-39, 2021	41	2021

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