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Generalization Bounds on Multi-Kernel Learning with Mixed Datasets

Generalization Bounds on Multi-Kernel Learning with Mixed Datasets

Lan V. Truong
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Papers citing "Generalization Bounds on Multi-Kernel Learning with Mixed Datasets"

6 / 6 papers shown
Title
Kernel Learning for Explainable Climate Science
Kernel Learning for Explainable Climate Science
V. Lalchand
K. Tazi
Talay M Cheema
R. Turner
S. Hosking
BDL
23
3
0
11 Sep 2022
On Rademacher Complexity-based Generalization Bounds for Deep Learning
On Rademacher Complexity-based Generalization Bounds for Deep Learning
Lan V. Truong
MLT
73
13
0
08 Aug 2022
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
J. Akian
L. Bonnet
H. Owhadi
Éric Savin
64
24
0
03 Jun 2022
Generalization Error Bounds on Deep Learning with Markov Datasets
Generalization Error Bounds on Deep Learning with Markov Datasets
Lan V. Truong
58
8
0
23 Dec 2021
Estimating the Mixing Time of Ergodic Markov Chains
Estimating the Mixing Time of Ergodic Markov Chains
Geoffrey Wolfer
A. Kontorovich
49
42
0
01 Feb 2019
Computationally Efficient Estimation of the Spectral Gap of a Markov Chain
Computationally Efficient Estimation of the Spectral Gap of a Markov Chain
Richard Combes
M. Touati
33
11
0
15 Jun 2018

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