The Collaborative Two-Sample Testing (CTST) framework integrates elements from f-divergence estimation, Kernel Methods, and Multitask Learning to efficiently leverage graph structure for two-sample testing.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• multi-task learning concept