Francisco J. R. Ruiz

According to our database, Francisco J. R. Ruiz authored at least 35 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mathematical discoveries from program search with large language models.

Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Matej Balog, M. Pawan Kumar, Emilien Dupont, Francisco J. R. Ruiz, Jordan S. Ellenberg, Pengming Wang, Omar Fawzi, Pushmeet Kohli, Alhussein Fawzi

Nat., January, 2024

FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch.

Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco J. R. Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa

CoRR, 2024

Quantum Circuit Optimization with AlphaTensor.

Francisco J. R. Ruiz, Tuomas Laakkonen, Johannes Bausch, Matej Balog, Mohammadamin Barekatain, Francisco J. H. Heras, Alexander Novikov, Nathan Fitzpatrick, Bernardino Romera-Paredes, John van de Wetering, Alhussein Fawzi, Konstantinos Meichanetzidis, Pushmeet Kohli

CoRR, 2024

2023

Fitting Autoregressive Graph Generative Models through Maximum Likelihood Estimation.

Xu Han, Xiaohui Chen, Francisco J. R. Ruiz, Li-Ping Liu

J. Mach. Learn. Res., 2023

2022

Discovering faster matrix multiplication algorithms with reinforcement learning.

Alhussein Fawzi, Matej Balog, Aja Huang, Thomas Hubert, Bernardino Romera-Paredes, Mohammadamin Barekatain, Alexander Novikov, Francisco J. R. Ruiz, Julian Schrittwieser, Grzegorz Swirszcz, David Silver, Demis Hassabis, Pushmeet Kohli

Nat., 2022

2021

Information theoretic meta learning with Gaussian processes.

Michalis K. Titsias, Francisco J. R. Ruiz, Sotirios Nikoloutsopoulos, Alexandre Galashov

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Unbiased gradient estimation for variational auto-encoders using coupled Markov chains.

Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation.

Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Topic Modeling in Embedding Spaces.

Adji Bousso Dieng, Francisco J. R. Ruiz, David M. Blei

Trans. Assoc. Comput. Linguistics, 2020

VarGrad: A Low-Variance Gradient Estimator for Variational Inference.

Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco J. R. Ruiz, Ömer Deniz Akyildiz

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Prescribed Generative Adversarial Networks.

Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei, Michalis K. Titsias

CoRR, 2019

The Dynamic Embedded Topic Model.

Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei

CoRR, 2019

Counterfactual Inference for Consumer Choice Across Many Product Categories.

Robert Donnelly, Francisco J. R. Ruiz, David M. Blei, Susan Athey

CoRR, 2019

A Contrastive Divergence for Combining Variational Inference and MCMC.

Francisco J. R. Ruiz, Michalis K. Titsias

Proceedings of the 36th International Conference on Machine Learning, 2019

Unbiased Implicit Variational Inference.

Michalis K. Titsias, Francisco J. R. Ruiz

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation.

Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz

IEEE Trans. Cogn. Commun. Netw., 2018

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

Susan Athey, David M. Blei, Robert Donnelly, Francisco J. R. Ruiz, Tobias Schmidt

CoRR, 2018

Augment and Reduce: Stochastic Inference for Large Categorical Distributions.

Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling.

Maryam Fatemi, Karl Granström, Lennart Svensson, Francisco J. R. Ruiz, Lars Hammarstrand

IEEE Trans. Signal Process., 2017

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

Francisco J. R. Ruiz, Susan Athey, David M. Blei

CoRR, 2017

Structured Embedding Models for Grouped Data.

Maja Rudolph, Francisco J. R. Ruiz, Susan Athey, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Context Selection for Embedding Models.

Li-Ping Liu, Francisco J. R. Ruiz, Susan Athey, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms.

Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Infinite Factorial Unbounded-State Hidden Markov Model.

Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis.

Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz

Neural Comput., 2016

Overdispersed Black-Box Variational Inference.

Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

The Generalized Reparameterization Gradient.

Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Exponential Family Embeddings.

Maja Rudolph, Francisco J. R. Ruiz, Stephan Mandt, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Infinite Factorial Dynamical Model.

Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Bayesian nonparametric approach for blind multiuser channel estimation.

Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Bayesian nonparametric comorbidity analysis of psychiatric disorders.

Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz

J. Mach. Learn. Res., 2014

Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation.

Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

Bayesian Nonparametric Poisson Factorization for Recommendation Systems.

Prem Gopalan, Francisco J. R. Ruiz, Rajesh Ranganath, David M. Blei

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2012

Bayesian Nonparametric Modeling of Suicide Attempts.

Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Zero-error codes for the noisy-typewriter channel.

Francisco J. R. Ruiz, Fernando Pérez-Cruz

Proceedings of the 2011 IEEE Information Theory Workshop, 2011