Poster · Sydney

Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality

Name: Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
Start: 2026-12-09T17:00:00+11:00
End: 2026-12-09T20:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Wed 9 Dec 2026, 17:00–20:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 4
Authors: Shu Tamano, Masaaki Imaizumi
Organisations: University of Tokyo, RIKEN, Kyoto University
QRS classification: Generative models, Learning theory, Causal inference

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