Replication or exploration? Sequential design for stochastic simulation
experiments

Replication or exploration? Sequential design for stochastic simulation experiments

9 October 2017

Papers citing "Replication or exploration? Sequential design for stochastic simulation experiments"

12 / 12 papers shown

Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois Jeffrey Larson 74 0 0 29 Apr 2025
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 47 0 0 17 May 2024
Active Learning of Piecewise Gaussian Process Surrogates Chiwoo Park R. Waelder Bonggwon Kang Benji Maruyama Soondo Hong R. Gramacy GP 19 1 0 20 Jan 2023
Multi-objective hyperparameter optimization with performance uncertainty A. Hernández I. Nieuwenhuyse Gonzalo Nápoles 14 2 0 09 Sep 2022
Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method Bruno Barracosa Julien Bect H. Baraffe J. Morin Josselin Fournel E. Vázquez 27 2 0 08 Jul 2022
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 21 95 0 23 Nov 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 8 34 0 09 Jun 2020
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation Xiong Lyu M. Ludkovski 17 4 0 19 Mar 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 31 35 0 17 Oct 2019
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 27 22 0 09 Oct 2019
The Kalai-Smorodinski solution for many-objective Bayesian optimization M. Binois Victor Picheny P. Taillandier A. Habbal 24 17 0 18 Feb 2019
Mercer kernels and integrated variance experimental design: connections between Gaussian process regression and polynomial approximation Alex A. Gorodetsky Youssef M. Marzouk 34 38 0 27 Feb 2015