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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…
stat.ML2025
Accelerated Stein Variational Gradient Flow
Viktor Stein, Wuchen Li
Stein variational gradient descent (SVGD) is a kernel-based particle method for sampling from a target distribution, e.g., in generative modeling and Bayesian inference. SVGD does…