CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction

CTRL: Closed-Loop Transcription to an LDR via Minimaxing Rate Reduction

This work proposes a new computational framework for learning a structured generative model for real-world datasets. In particular, we propose to learn <i>a <b>C</b>losed-loop <b>Tr</b>anscription</i>between a multi-class, multi-dimensional data distribution and a...

Full description

Bibliographic Details
Main Authors: Xili Dai, Shengbang Tong, Mingyang Li, Ziyang Wu, Michael Psenka, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Xiaojun Yuan, Heung-Yeung Shum, Yi Ma
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Entropy
Subjects:
closed-loop transcription
linear discriminative representation
rate reduction
minimax game
Online Access:https://www.mdpi.com/1099-4300/24/4/456

Internet

https://www.mdpi.com/1099-4300/24/4/456

Similar Items