11 citations · 17 across the 4 of their papers we have counts for
6 papers
The Random Conditional Distribution for Higher-Order Probabilistic Inference
Zenna Tavares, Xin Zhang, Edgar Minaysan +3
The need to condition distributional properties such as expectation, variance, and entropy arises in algorithmic fairness, model simplification, robustness and many other areas. At…
Soft Constraints for Inference with Declarative Knowledge
Zenna Tavares, Javier Burroni, Edgar Minaysan +2
We develop a likelihood free inference procedure for conditioning a probabilistic model on a predicate. A predicate is a Boolean valued function which expresses a yes/no question a…
Inference of Demographic Attributes based on Mobile Phone Usage Patterns and Social Network Topology
Carlos Sarraute, Jorge Brea, Javier Burroni +1
Mobile phone usage provides a wealth of information, which can be used to better understand the demographic structure of a population. In this paper, we focus on the population of…
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming
Guillaume Baudart, Javier Burroni, Martin Hirzel +2
Stan is a probabilistic programming language that is popular in the statistics community, with a high-level syntax for expressing probabilistic models. Stan differs by nature from…
Inference of Users Demographic Attributes based on Homophily in Communication Networks
Jorge Brea, Javier Burroni, Carlos Sarraute
Over the past decade, mobile phones have become prevalent in all parts of the world, across all demographic backgrounds. Mobile phones are used by men and women across a wide age r…
Social Events in a Time-Varying Mobile Phone Graph
Carlos Sarraute, Jorge Brea, Javier Burroni +3
The large-scale study of human mobility has been significantly enhanced over the last decade by the massive use of mobile phones in urban populations. Studying the activity of mobi…