Toward Learning Distributions of Distributions

Moritz Wohlstein; Ulf Brefeld

Toward Learning Distributions of Distributions

Moritz Wohlstein^*
, Ulf Brefeld

^*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beiträge in Zeitschriften › Konferenzaufsätze in Fachzeitschriften › Forschung › Begutachtung

Abstract

We propose a novel generative deep learning architecture based on generative moment matching networks. The objective of our model is to learn a distribution over distributions and generate new sample distributions following the (possibly complex) distribution of training data. We derive a custom loss function for our model based on the maximum mean discrepancy test. Our model is evaluated on different datasets where we investigate the influence of hyperparameters on performance.

Originalsprache	Englisch
Zeitschrift	Proceedings of Machine Learning Research
Jahrgang	265
Seiten (von - bis)	269-275
Seitenumfang	7
ISSN	2640-3498
Publikationsstatus	Erschienen - 2025
Veranstaltung	6th Northern Lights Deep Learning Conference - NLDL 2025 - The Arctic University of Norway, Tromso, Norwegen Dauer: 07.01.2025 → 10.01.2025 Konferenznummer: 6

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AU - Brefeld, Ulf

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AB - We propose a novel generative deep learning architecture based on generative moment matching networks. The objective of our model is to learn a distribution over distributions and generate new sample distributions following the (possibly complex) distribution of training data. We derive a custom loss function for our model based on the maximum mean discrepancy test. Our model is evaluated on different datasets where we investigate the influence of hyperparameters on performance.

KW - Informatics

UR - https://www.scopus.com/pages/publications/85219101038

M3 - Conference article in journal

AN - SCOPUS:85219101038

SN - 2640-3498

VL - 265

SP - 269

EP - 275

JO - Proceedings of Machine Learning Research

JF - Proceedings of Machine Learning Research

T2 - 6th Northern Lights Deep Learning Conference - NLDL 2025

Y2 - 7 January 2025 through 10 January 2025

ER -

Toward Learning Distributions of Distributions

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