Group kernels for Gaussian process metamodels with categorical inputs

v1v2 (latest)

Group kernels for Gaussian process metamodels with categorical inputs

7 February 2018

Esperan Padonou

Aloïs Clément

ArXiv (abs)PDF HTML

Papers citing "Group kernels for Gaussian process metamodels with categorical inputs"

13 / 13 papers shown

Title
Distributional encoding for Gaussian process regression with qualitative inputs Sébastien Da Veiga UQCV 95 0 0 05 Jun 2025
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration M. R Paul Saves P. Palar L. Zuhal oseph Morlier MoE LRM 82 1 0 25 Mar 2025
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs Lucas Reding A. F. López-Lopera François Bachoc 68 1 0 26 Apr 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization Jiazhao Zhang Ying Hung Chung-Ching Lin Zicheng Liu 116 0 0 19 Jan 2024
Fully Bayesian inference for latent variable Gaussian process models Suraj Yerramilli Akshay Iyer Wei Chen D. Apley 45 3 0 04 Nov 2022
Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters M. Moustapha A. Galimshina G. Habert Bruno Sudret 61 10 0 03 Mar 2022
A comparison of mixed-variables Bayesian optimization approaches Jhouben Cuesta Ramirez Rodolphe Le Riche O. Roustant G. Perrin Cédric Durantin A. Glière 56 19 0 30 Oct 2021
Bayesian Optimization over Hybrid Spaces Aryan Deshwal Syrine Belakaria J. Doppa 72 34 0 08 Jun 2021
A sampling criterion for constrained Bayesian optimization with uncertainties M. R. E. Amri Rodolphe Le Riche C. Helbert Christophette Blanchet-Scalliet Sébastien Da Veiga 43 14 0 09 Mar 2021
Task-Adaptive Robot Learning from Demonstration with Gaussian Process Models under Replication Miguel Arduengo Adrià Colomé J´ulia Borras Luis Sentis Carme Torras 32 12 0 15 Oct 2020
Gaussian Process Models with Low-Rank Correlation Matrices for Both Continuous and Categorical Inputs Dominik Kirchhoff S. Kuhnt 18 3 0 06 Oct 2020
Bayesian optimization of variable-size design space problems J. Pelamatti Loïc Brevault M. Balesdent El-Ghazali Talbi Yannick Guerin 80 29 0 06 Mar 2020
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 88 22 0 09 Oct 2019