Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey

no code implementations • 18 Mar 2021 • Kai Chen, Qinglei Kong, Yijue Dai, Yue Xu, Feng Yin, Lexi Xu, Shuguang Cui

Empowered by big data and machine learning, next-generation data-driven communication systems will be intelligent with the characteristics of expressiveness, scalability, interpretability, and especially uncertainty modeling, which can confidently involve diversified latent demands and personalized services in the foreseeable future.

BIG-bench Machine Learning Gaussian Processes

Compressible Spectral Mixture Kernels with Sparse Dependency Structures for Gaussian Processes

no code implementations • 1 Aug 2018 • Kai Chen, Yijue Dai, Feng Yin, Elena Marchiori, Sergios Theodoridis

Then, we propose a novel SM kernel with a dependency structure (SMD) by using cross-convolution between the SM components.

Gaussian Processes Model Compression