22 citations · 52 across the 24 of their papers we have counts for
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cs.LG2026
On the Abundance of Critical Points of the t-SNE Energy
Nakul Haridas, Ryan Murray
This paper considers the energy landscape of the t-SNE algorithm. While this algorithm has enjoyed broad adoption, the non-convexity of the associated energy has made it difficult…
cs.LG2021★ 7 cited
The Geometry of Adversarial Training in Binary Classification
Leon Bungert, Nicolás García Trillos, Ryan Murray
We establish an equivalence between a family of adversarial training problems for non-parametric binary classification and a family of regularized risk minimization problems where…
cs.LG2020★ 5 cited
Adversarial Classification: Necessary conditions and geometric flows
Nicolas Garcia Trillos, Ryan Murray
We study a version of adversarial classification where an adversary is empowered to corrupt data inputs up to some distance , using tools from variational analysis. In…