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Tensor Regression Meets Gaussian Processes

Tensor Regression Meets Gaussian Processes

31 October 2017
Rose Yu
Max Guangyu Li
Yan Liu
    BDL
ArXiv (abs)PDFHTML

Papers citing "Tensor Regression Meets Gaussian Processes"

15 / 15 papers shown
Title
Efficient Decision Trees for Tensor Regressions
Efficient Decision Trees for Tensor Regressions
Hengrui Luo
Akira Horiguchi
Li Ma
58
4
0
04 Aug 2024
Gaussian Process Model with Tensorial Inputs and Its Application to the
  Design of 3D Printed Antennas
Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas
Xi Chen
Yashika Sharma
Hao Helen Zhang
Xin Hao
Qiang Zhou
27
0
0
19 Jul 2024
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains
Haitao Liu
Kai Wu
Yew-Soon Ong
Chao Bian
Xiaomo Jiang
Xiaofang Wang
69
8
0
25 Feb 2022
Scalable Multi-Task Gaussian Processes with Neural Embedding of
  Coregionalization
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization
Haitao Liu
Jiaqi Ding
Xinyu Xie
Xiaomo Jiang
Yusong Zhao
Xiaofang Wang
BDL
55
17
0
20 Sep 2021
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian
  Kernelized Tensor Regression
Scalable Spatiotemporally Varying Coefficient Modelling with Bayesian Kernelized Tensor Regression
Mengying Lei
A. Labbe
Lijun Sun
47
5
0
31 Aug 2021
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models
Lower and Upper Bounds on the VC-Dimension of Tensor Network Models
Behnoush Khavari
Guillaume Rabusseau
54
3
0
22 Jun 2021
Local approximate Gaussian process regression for data-driven
  constitutive laws: Development and comparison with neural networks
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks
J. Fuhg
M. Marino
N. Bouklas
67
61
0
07 May 2021
High-Dimensional Uncertainty Quantification via Tensor Regression with
  Rank Determination and Adaptive Sampling
High-Dimensional Uncertainty Quantification via Tensor Regression with Rank Determination and Adaptive Sampling
Zichang He
Zheng Zhang
54
16
0
31 Mar 2021
Recent Advances in Data-Driven Wireless Communication Using Gaussian
  Processes: A Comprehensive Survey
Recent Advances in Data-Driven Wireless Communication Using Gaussian Processes: A Comprehensive Survey
Kai Chen
Qinglei Kong
Yijue Dai
Yue Xu
Feng Yin
Lexi Xu
Shuguang Cui
102
30
0
18 Mar 2021
Adaptive Learning of Tensor Network Structures
Adaptive Learning of Tensor Network Structures
Meraj Hashemizadeh
M. Liu
Jacob Miller
Guillaume Rabusseau
44
8
0
12 Aug 2020
Multiresolution Tensor Learning for Efficient and Interpretable Spatial
  Analysis
Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis
Jung Yeon Park
K. T. Carr
Stephan Zhang
Yisong Yue
Rose Yu
107
14
0
13 Feb 2020
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order
  Regression Models
Fast and Scalable Estimator for Sparse and Unit-Rank Higher-Order Regression Models
Jiaqi Zhang
Beilun Wang
53
0
0
29 Nov 2019
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Parikshit Pareek
Chuan Wang
H. Nguyen
38
5
0
08 Nov 2019
Time-varying Autoregression with Low Rank Tensors
Time-varying Autoregression with Low Rank Tensors
K. Harris
Aleksandr Aravkin
Rajesh P. N. Rao
Bingni W. Brunton
AI4TS
60
20
0
21 May 2019
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite
Jiajia Li
Yuchen Ma
Xiaolong Wu
Ang Li
Kevin J. Barker
35
18
0
08 Feb 2019
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