Ruiz, Francisco

11 publications

ICML 2025 FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch Virginia Aglietti, Ira Ktena, Jessica Schrouff, Eleni Sgouritsa, Francisco Ruiz, Alan Malek, Alexis Bellot, Silvia Chiappa

ICML 2021 Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation Xiaohui Chen, Xu Han, Jiajing Hu, Francisco Ruiz, Liping Liu

NeurIPS 2020 VarGrad: A Low-Variance Gradient Estimator for Variational Inference Lorenz Richter, Ayman Boustati, Nikolas Nüsken, Francisco Ruiz, Omer Deniz Akyildiz

ICML 2019 A Contrastive Divergence for Combining Variational Inference and MCMC Francisco Ruiz, Michalis Titsias

AISTATS 2019 Unbiased Implicit Variational Inference Michalis K. Titsias, Francisco Ruiz

ICML 2018 Augment and Reduce: Stochastic Inference for Large Categorical Distributions Francisco Ruiz, Michalis Titsias, Adji Bousso Dieng, David Blei

NeurIPS 2017 Context Selection for Embedding Models Liping Liu, Francisco Ruiz, Susan Athey, David Blei

NeurIPS 2017 Structured Embedding Models for Grouped Data Maja Rudolph, Francisco Ruiz, Susan Athey, David Blei

NeurIPS 2016 Exponential Family Embeddings Maja Rudolph, Francisco Ruiz, Stephan Mandt, David Blei

NeurIPS 2015 Infinite Factorial Dynamical Model Isabel Valera, Francisco Ruiz, Lennart Svensson, Fernando Perez-Cruz

NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz