Rethinking Bayesian Learning for Data Analysis: The Art of Prior and
Inference in Sparsity-Aware Modeling

Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling

IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022

28 May 2022

Sergios Theodoridis

Tsung-Hui Chang

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Papers citing "Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling"

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Title
Incorporating priors in learning: a random matrix study under a teacher-student framework Malik Tiomoko Ekkehard Schnoor 92 0 0 26 Sep 2025
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple KernelIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 377 1 0 17 Jan 2025
Scalable Random Feature Latent Variable ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 Ying Li Zhidi Lin Yuhao Liu Michael Minyi Zhang Pablo M. Olmos Petar M. Djurić BDL DRL 274 0 0 23 Oct 2024
Preventing Model Collapse in Gaussian Process Latent Variable ModelsInternational Conference on Machine Learning (ICML), 2024 Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 253 4 0 02 Apr 2024
Regularization-Based Efficient Continual Learning in Deep State-Space ModelsFusion (Fusion), 2024 Yuanhang Zhang Zhidi Lin Yiyong Sun Feng Yin Carsten Fritsche CLL 216 3 0 15 Mar 2024
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference Zhidi Lin Yiyong Sun Feng Yin Alexandre Thiéry 328 6 0 10 Dec 2023
Learning Sparse Codes with Entropy-Based ELBOsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Dmytro Velychko Simon Damm Asja Fischer Jörg Lücke 237 2 0 03 Nov 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space ModelsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Zhidi Lin Juan Maroñas Ying Li Feng Yin Sergios Theodoridis 238 3 0 03 Sep 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 354 7 0 21 Jan 2023
Output-Dependent Gaussian Process State-Space ModelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zhidi Lin Lei Cheng Feng Yin Le Xu Shuguang Cui UQCV 166 5 0 15 Dec 2022