2 papers
stat.ML2026
Approximating -Divergences with Rank Statistics
Viktor Stein, José Manuel de Frutos
We introduce a rank-statistic approximation of -divergences that avoids explicit density-ratio estimation by working directly with the distribution of ranks. For a resolution pa…
cs.LG2024
Training Implicit Generative Models via an Invariant Statistical Loss
José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez +1
Implicit generative models have the capability to learn arbitrary complex data distributions. On the downside, training requires telling apart real data from artificially-generated…