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

28 May 2022

Sergios Theodoridis

Tsung-Hui Chang

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

15 / 15 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 62 1 0 17 Jan 2025
Scalable Random Feature Latent Variable Models Ying Li Zhidi Lin Yuhao Liu Michael Minyi Zhang Pablo Martínez Olmos P. Djuric BDL DRL 28 0 0 23 Oct 2024
Preventing Model Collapse in Gaussian Process Latent Variable Models Ying Li Zhidi Lin Feng Yin Michael Minyi Zhang VLM 30 1 0 02 Apr 2024
Regularization-Based Efficient Continual Learning in Deep State-Space Models Yuanhang Zhang Zhidi Lin Yiyong Sun Feng Yin Carsten Fritsche CLL 26 2 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 24 4 0 10 Dec 2023
Learning Sparse Codes with Entropy-Based ELBOs Dmytro Velychko Simon Damm Asja Fischer Jörg Lücke 19 2 0 03 Nov 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models Zhidi Lin Juan Maroñas Ying Li Feng Yin Sergios Theodoridis 24 3 0 03 Sep 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 26 7 0 21 Jan 2023
Output-Dependent Gaussian Process State-Space Model Zhidi Lin Lei Cheng Feng Yin Le Xu Shuguang Cui UQCV 33 5 0 15 Dec 2022
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness Konstantinos P. Panousis S. Chatzis Sergios Theodoridis BDL AAML 58 11 0 05 Dec 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos P. Panousis S. Chatzis Antonios Alexos Sergios Theodoridis BDL AAML OOD 56 19 0 04 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,876 0 14 Dec 2020
Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution Topi Paananen Juho Piironen Michael Riis Andersen Aki Vehtari 76 50 0 21 Dec 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Tensor Decomposition for Signal Processing and Machine Learning N. Sidiropoulos L. De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos 105 1,342 0 06 Jul 2016