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

18 March 2021

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

6 / 6 papers shown

Title
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 64 1 0 17 Jan 2025
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction Dazhou Yu Xiaoyun Gong Yun-Qing Li Meikang Qiu Liang Zhao 104 3 0 30 Jun 2024
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 65 75 0 28 May 2022
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling Xubo Yue Raed Al Kontar FedML 49 9 0 28 Nov 2021
Multitask Gaussian Process with Hierarchical Latent Interactions Kai Chen Twan van Laarhoven E. Marchiori Feng Yin Shuguang Cui 17 6 0 03 Aug 2018
Compressible Spectral Mixture Kernels with Sparse Dependency Structures for Gaussian Processes Kai Chen Yijue Dai Feng Yin Shuguang Cui Sergios Theodoridis 22 3 0 01 Aug 2018