François Bachoc - Sequential construction and dimension reduction of GP under inequality constraints
Ítalo Gomes Gonçalves - Variational Gaussian processes for spatial modeling: the geoML project
Learning Constrained Dynamics with Gauss Principle adhering Gaussian Processes | L4DC 2020
PINNs in GPR || PINNs and neural operators for diesel engines || Seminar on August 12, 2023
11.2 Constraint Qualifications | 11 Optimization | Pattern Recognition Class 2012
A Mini-Batch Method for Solving Nonlinear PDEs with Gaussian Processes - ArXiv:2306.0030
Surrogate modeling and Bayesian optimization (Part 2)
Neil Lawrence: Bayesian GP-LVM and Deep GPs Part I
Strong Data Processing Inequalities and Estimation with Constraints
[DeepBayes2019]: Day 4, Lecture 1. Gaussian processes and Bayesian optimization
Geometric Deformation of Virtual Character Animation Using Cascaded Spacetime Constraints
36. Final Lecture
Matthew Hoffman: Information-based methods for Bayesian Optimization
GPSS2019 - Kernel Design
11.3 Linear Programming | 11 Optimization | Pattern Recognition Class 2012
Regression Models (Surrogate Based Opt.)
Bayesian Optimization in the Wild: Risk-Averse Decisions and Budget Constraints
11.4 The Simplex Algorithm | 11 Optimization | Pattern Recognition Class 2012
Francois Bachoc - Advances in Gaussian Process Pt.1
11.1 The Lagrangian Method | 11 Optimization | Pattern Recognition Class 2012
