Javier Burroni

According to our database, Javier Burroni authored at least 20 papers between 2010 and 2024.

Collaborative distances:

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

2024

Sample Average Approximation for Black-Box Variational Inference.

Javier Burroni, Justin Domke, Daniel Sheldon

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

U-Statistics for Importance-Weighted Variational Inference.

Javier Burroni, Kenta Takatsu, Justin Domke, Daniel Sheldon

Trans. Mach. Learn. Res., 2023

Sample Average Approximation for Black-Box VI.

Javier Burroni, Justin Domke, Daniel Sheldon

CoRR, 2023

Automatically marginalized MCMC in probabilistic programming.

Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon

Proceedings of the International Conference on Machine Learning, 2023

2021

Min/max stability and box distributions.

Michael Boratko, Javier Burroni, Shib Sankar Dasgupta, Andrew McCallum

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

Compiling Stan to generative probabilistic languages and extension to deep probabilistic programming.

Guillaume Baudart, Javier Burroni, Martin Hirzel, Louis Mandel, Avraham Shinnar

Proceedings of the PLDI '21: 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2021

2019

The Random Conditional Distribution for Higher-Order Probabilistic Inference.

Zenna Tavares, Xin Zhang, Edgar Minaysan, Javier Burroni, Rajesh Ranganath, Armando Solar-Lezama

CoRR, 2019

Soft Constraints for Inference with Declarative Knowledge.

Zenna Tavares, Javier Burroni, Edgar Minaysan, Armando Solar-Lezama, Rajesh Ranganath

CoRR, 2019

Object Conditioning for Causal Inference.

David D. Jensen, Javier Burroni, Matthew J. Rattigan

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Predicate Exchange: Inference with Declarative Knowledge.

Zenna Tavares, Javier Burroni, Edgar Minasyan, Armando Solar-Lezama, Rajesh Ranganath

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

2018

Extending Stan for Deep Probabilistic Programming.

Javier Burroni, Guillaume Baudart, Louis Mandel, Martin Hirzel, Avraham Shinnar

CoRR, 2018

Inference of Users Demographic Attributes based on Homophily in Communication Networks.

Jorge Brea, Javier Burroni, Carlos Sarraute

CoRR, 2018

2017

Social Events in a Time-Varying Mobile Phone Graph.

Carlos Sarraute, Jorge Brea, Javier Burroni, Klaus Wehmuth, Artur Ziviani, J. Ignacio Alvarez-Hamelin

CoRR, 2017

The Act of Computer Programming in Science.

Javier Burroni

Proceedings of the Companion to the first International Conference on the Art, 2017

Garbage collection and efficiency in dynamic metacircular runtimes: an experience report.

Javier Pimás, Javier Burroni, Jean-Baptiste Arnaud, Stefan Marr

Proceedings of the 13th ACM SIGPLAN International Symposium on on Dynamic Languages, Vancouver, BC, Canada, October 23, 2017

2015

Inference of demographic attributes based on mobile phone usage patterns and social network topology.

Carlos Sarraute, Jorge Brea, Javier Burroni, Pablo Blanc

Soc. Netw. Anal. Min., 2015

2014

Harnessing Mobile Phone Social Network Topology to Infer Users Demographic Attributes.

Jorge Brea, Javier Burroni, Martin Minnoni, Carlos Sarraute

Proceedings of the 8th Workshop on Social Network Mining and Analysis, 2014

A study of age and gender seen through mobile phone usage patterns in Mexico.

Carlos Sarraute, Pablo Blanc, Javier Burroni

Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2010

Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones

Javier Burroni, Carlos Sarraute

CoRR, 2010

Using Neural Networks to improve classical Operating System Fingerprinting techniques

Carlos Sarraute, Javier Burroni

CoRR, 2010