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Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties

Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties

Marco Signoretto
L. De Lathauwer
Johan A. K. Suykens
ArXiv (abs)PDFHTML

Papers citing "Learning Tensors in Reproducing Kernel Hilbert Spaces with Multilinear Spectral Penalties"

5 / 5 papers shown
Title
Multi-Linear Kernel Regression and Imputation in Data Manifolds
Multi-Linear Kernel Regression and Imputation in Data Manifolds
D. Nguyen
Konstantinos Slavakis
MedIm
18
0
0
06 Apr 2023
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
Kanji Sato
Akiko Takeda
Reiichiro Kawai
Taiji Suzuki
44
6
0
19 Mar 2022
Provable Adaptation across Multiway Domains via Representation Learning
Provable Adaptation across Multiway Domains via Representation Learning
Zhili Feng
Shaobo Han
S. Du
OOD
25
4
0
12 Jun 2021
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
Boris Muzellec
Kanji Sato
Mathurin Massias
Taiji Suzuki
132
12
0
29 Feb 2020
Doubly Decomposing Nonparametric Tensor Regression
Doubly Decomposing Nonparametric Tensor Regression
Masaaki Imaizumi
K. Hayashi
55
24
0
19 Jun 2015