16 citations · 22 across the 4 of their papers we have counts for
4 papers
Orders between channels and implications for partial information decomposition
André F. C. Gomes, Mário A. T. Figueiredo
The partial information decomposition (PID) framework is concerned with decomposing the information that a set of random variables has with respect to a target variable into three…
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model
Mário A. T. Figueiredo, Catarina A. Oliveira
Distinguishing cause from effect using observations of a pair of random variables is a core problem in causal discovery. Most approaches proposed for this task, namely additive noi…
Sparse Continuous Distributions and Fenchel-Young Losses
André F. T. Martins, Marcos Treviso, António Farinhas +4
Exponential families are widely used in machine learning, including many distributions in continuous and discrete domains (e.g., Gaussian, Dirichlet, Poisson, and categorical distr…
Sparse and Continuous Attention Mechanisms
André F. T. Martins, António Farinhas, Marcos Treviso +3
Exponential families are widely used in machine learning; they include many distributions in continuous and discrete domains (e.g., Gaussian, Dirichlet, Poisson, and categorical di…