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2024 ICML ICML 2024

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Elen Vardanyan, Sona Hunanyan, Tigran Galstyan, Arshak Minasyan, Arnak S. Dalalyan

Topics

Artificial Intelligence > Bayesian & Probabilistic > Probabilistic Modeling Machine Learning > Optimization & Theory > Learning Theory Deep Learning > Models > Generative Models

Keywords

lipschitz constant empirical distribution wasserstein gan wasserstein-1 distance left-invertible push-forward maps true data-generating distribution
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