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Gaussian processes with linear operator inequality constraints
v1v2 (latest)

Gaussian processes with linear operator inequality constraints

10 January 2019
C. Agrell
ArXiv (abs)PDFHTML

Papers citing "Gaussian processes with linear operator inequality constraints"

12 / 12 papers shown
Title
Physics-Informed Gaussian Process Regression Generalizes Linear PDE
  Solvers
Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers
Marvin Pfortner
Ingo Steinwart
Philipp Hennig
Jonathan Wenger
AI4CE
119
29
0
23 Dec 2022
Posterior Regularized Bayesian Neural Network Incorporating Soft and
  Hard Knowledge Constraints
Posterior Regularized Bayesian Neural Network Incorporating Soft and Hard Knowledge Constraints
Jiayu Huang
Yutian Pang
Yongming Liu
Hao Yan
BDLUQCV
66
15
0
16 Oct 2022
On Controller Tuning with Time-Varying Bayesian Optimization
On Controller Tuning with Time-Varying Bayesian Optimization
Paul Brunzema
Alexander von Rohr
Sebastian Trimpe
79
17
0
22 Jul 2022
Bayesian Optimization Over Iterative Learners with Structured Responses:
  A Budget-aware Planning Approach
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
Syrine Belakaria
J. Doppa
Nicolò Fusi
Rishit Sheth
91
7
0
25 Jun 2022
Constraining Gaussian processes for physics-informed acoustic emission
  mapping
Constraining Gaussian processes for physics-informed acoustic emission mapping
Matthew R. Jones
T. Rogers
E. Cross
AI4CE
85
16
0
03 Jun 2022
Handling Hard Affine SDP Shape Constraints in RKHSs
Handling Hard Affine SDP Shape Constraints in RKHSs
Pierre-Cyril Aubin-Frankowski
Z. Szabó
40
7
0
05 Jan 2021
A Survey of Constrained Gaussian Process Regression: Approaches and
  Implementation Challenges
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
L. Swiler
Mamikon A. Gulian
A. Frankel
Cosmin Safta
J. Jakeman
GPAI4CE
110
106
0
16 Jun 2020
Hard Shape-Constrained Kernel Machines
Hard Shape-Constrained Kernel Machines
Pierre-Cyril Aubin-Frankowski
Z. Szabó
62
22
0
26 May 2020
Learning Constrained Dynamics with Gauss Principle adhering Gaussian
  Processes
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes
A. R. Geist
Sebastian Trimpe
76
21
0
23 Apr 2020
Nonnegativity-Enforced Gaussian Process Regression
Nonnegativity-Enforced Gaussian Process Regression
Andrew Pensoneault
Xiu Yang
Xueyu Zhu
74
28
0
07 Apr 2020
Integrals over Gaussians under Linear Domain Constraints
Integrals over Gaussians under Linear Domain Constraints
A. Gessner
Oindrila Kanjilal
Philipp Hennig
62
30
0
21 Oct 2019
Non-Parametric Calibration for Classification
Non-Parametric Calibration for Classification
Jonathan Wenger
Hedvig Kjellström
Rudolph Triebel
UQCV
118
82
0
12 Jun 2019
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