54 citations · 227 across the 36 of their papers we have counts for
Showing 2018 · stat.MLShow all
2 papers · 2 filters
stat.ML2018
New Losses for Generative Adversarial Learning
Victor Berger, Michèle Sebag
Generative Adversarial Networks (Goodfellow et al., 2014), a major breakthrough in the field of generative modeling, learn a discriminator to estimate some distance between the tar…
stat.ML2018★ 27 cited
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs
Diviyan Kalainathan, Olivier Goudet, Isabelle Guyon +2
A new causal discovery method, Structural Agnostic Modeling (SAM), is presented in this paper. Leveraging both conditional independencies and distributional asymmetries, SAM aims t…