Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior

5 September 2024

Wang Xinming

Li Yongxiang

Yue Xiaowei

Wu Jianguo

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Papers citing "Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior"

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Title
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation Wang Xinming Wang Chao Song Xuan Kirby Levi Wu Jianguo 34 7 0 04 Sep 2024
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 64 10 0 08 Nov 2021
Partitioned Active Learning for Heterogeneous Systems Cheolhei Lee Kaiwen Wang Jianguo Wu W. Cai Xiaowei Yue 31 15 0 14 May 2021
Online Structural Change-point Detection of High-dimensional Streaming Data via Dynamic Sparse Subspace Learning Ruiyu Xu Jianguo Wu Xiaowei Yue Yongxiang Li 47 9 0 24 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey Zhuangdi Zhu Kaixiang Lin Anil K. Jain Jiayu Zhou OffRL LRM 107 589 0 16 Sep 2020
Multi-Task Reinforcement Learning with Soft Modularization Ruihan Yang Huazhe Xu Yi Wu Xiaolong Wang 57 182 0 30 Mar 2020
Fleet Control using Coregionalized Gaussian Process Policy Iteration T. Verstraeten Pieter J. K. Libin Ann Nowé 38 7 0 22 Nov 2019
Nonstationary Multivariate Gaussian Processes for Electronic Health Records Rui Meng Braden C. Soper Herbert Lee Vincent X. Liu John D Greene Priyadip Ray 45 12 0 13 Oct 2019
Deep Learning for Spatio-Temporal Data Mining: A Survey Senzhang Wang Jiannong Cao Philip S. Yu AI4TS 60 565 0 11 Jun 2019
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction Yeqi Liu Chuanyang Gong Ling Yang Yingyi Chen AI4TS 47 314 0 16 Apr 2019
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation Filipe Rodrigues Kristian C. Henrickson Francisco Câmara Pereira 55 64 0 20 Dec 2018
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics Yunbo Wang Jianjin Zhang Hongyu Zhu Mingsheng Long Jianmin Wang Philip S Yu AI4TS 60 321 0 19 Nov 2018
Learning Non-Stationary Space-Time Models for Environmental Monitoring S. Garg Amarjeet Singh F. Ramos 72 38 0 27 Apr 2018
Dynamic Multivariate Functional Data Modeling via Sparse Subspace Learning Chen Zhang Hao Yan Seungho Lee Jianjun Shi 54 35 0 11 Apr 2018
Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features Jean-François Ton Seth Flaxman Dino Sejdinovic Samir Bhatt GP 58 53 0 15 Nov 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 600 2,228 0 25 Jul 2017
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 73 664 0 27 Oct 2016
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo Markus Heinonen Henrik Mannerstrom Juho Rousu Samuel Kaski Harri Lähdesmäki 50 103 0 18 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 127 1,181 0 02 Nov 2012
Bayesian treed Gaussian process models with an application to computer modeling R. Gramacy Herbert K. H. Lee 177 679 0 24 Oct 2007