TH3.R1.2

An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures

Yi Song, Technische Universitat Berlin, Germany; Kai Wan, Zhenyu Liao, Huazhong University of Science and Technology, China; Hao Xu, University College London, United Kingdom; Giuseppe Caire, Technische Universitat Berlin, Germany; Shlomo Shamai, Technion-Israel Institute of Technology, Israel
Session:
Information Bottleneck
Track:
8: Machine Learning
Location:
Ballroom II & III
Presentation Time:
Thu, 11 Jul, 14:55 - 15:15
Session Chair:
Lampros Gavalakis, Gustave Eiffel University
Presentation
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Discussion
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Session TH3.R1
TH3.R1.1: QML-IB: Quantized Collaborative Intelligence between Multiple Devices and the Mobile Network
Jingchen Peng, Boxiang Ren, Tsinghua University, China; Lu Yang, Chenghui Peng, Huawei Tech. Co. Ltd, China; Panpan Niu, Hao Wu, Tsinghua University, China
TH3.R1.2: An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures
Yi Song, Technische Universitat Berlin, Germany; Kai Wan, Zhenyu Liao, Huazhong University of Science and Technology, China; Hao Xu, University College London, United Kingdom; Giuseppe Caire, Technische Universitat Berlin, Germany; Shlomo Shamai, Technion-Israel Institute of Technology, Israel
TH3.R1.3: An Expectation-Maximization Relaxed Method for Privacy Funnel
Lingyi Chen, Jiachuan Ye, Shitong Wu, Tsinghua University, China; Huihui Wu, Hao Wu, University of Electronic Science and Technology of China, China; Wenyi Zhang, University of Science and Technology of China, China
TH3.R1.4: The Persuasion Bottleneck
Michael Gastpar, EPFL, Switzerland; Aayush Rajesh, IIT Bombay, India
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