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Learning Data-adaptive Nonparametric Kernels
v1v2v3 (latest)

Learning Data-adaptive Nonparametric Kernels

31 August 2018
Fanghui Liu
Xiaolin Huang
Chen Gong
Jie Yang
Li Li
ArXiv (abs)PDFHTML

Papers citing "Learning Data-adaptive Nonparametric Kernels"

5 / 5 papers shown
Title
BENK: The Beran Estimator with Neural Kernels for Estimating the
  Heterogeneous Treatment Effect
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
Stanislav R. Kirpichenko
Lev V. Utkin
A. Konstantinov
CML
93
0
0
19 Nov 2022
Heterogeneous Treatment Effect with Trained Kernels of the
  Nadaraya-Watson Regression
Heterogeneous Treatment Effect with Trained Kernels of the Nadaraya-Watson Regression
A. Konstantinov
Stanislav R. Kirpichenko
Lev V. Utkin
CML
54
4
0
19 Jul 2022
On Learning the Transformer Kernel
On Learning the Transformer Kernel
Sankalan Pal Chowdhury
Adamos Solomou
Kumar Avinava Dubey
Mrinmaya Sachan
ViT
131
14
0
15 Oct 2021
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
Towards a Unified Quadrature Framework for Large-Scale Kernel Machines
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
83
4
0
03 Nov 2020
Random Features for Kernel Approximation: A Survey on Algorithms,
  Theory, and Beyond
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
124
176
0
23 Apr 2020
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