Francisco J. R. Ruiz
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
4
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | 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 |
| 2021 | ICML | Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation. | Xiaohui Chen, Xu Han, Jiajing Hu, Francisco J. R. Ruiz, Li-Ping Liu |
| 2021 | UAI | Unbiased gradient estimation for variational auto-encoders using coupled Markov chains. | Francisco J. R. Ruiz, Michalis K. Titsias, A. Taylan Cemgil, Arnaud Doucet |
| 2021 | UAI | Information theoretic meta learning with Gaussian processes. | Michalis K. Titsias, Francisco J. R. Ruiz, Sotirios Nikoloutsopoulos, Alexandre Galashov |
| 2019 | AISTATS | Unbiased Implicit Variational Inference. | Michalis K. Titsias, Francisco J. R. Ruiz |
| 2019 | ICML | A Contrastive Divergence for Combining Variational Inference and MCMC. | Francisco J. R. Ruiz, Michalis K. Titsias |
| 2018 | ICML | Augment and Reduce: Stochastic Inference for Large Categorical Distributions. | Francisco J. R. Ruiz, Michalis K. Titsias, Adji B. Dieng, David M. Blei |
| 2017 | AISTATS | Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms. | Christian A. Naesseth, Francisco J. R. Ruiz, Scott W. Linderman, David M. Blei |
| 2016 | UAI | Overdispersed Black-Box Variational Inference. | Francisco J. R. Ruiz, Michalis K. Titsias, David M. Blei |
| 2014 | AISTATS | Bayesian Nonparametric Poisson Factorization for Recommendation Systems. | Prem Gopalan, Francisco J. R. Ruiz, Rajesh Ranganath, David M. Blei |
| 2011 | ITW | Zero-error codes for the noisy-typewriter channel. | Francisco J. R. Ruiz, Fernando Prez-Cruz |