Scaling Gaussian Process Optimization by Evaluating a Few Unique
Candidates Multiple Times

Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times

30 January 2022

Daniele Calandriello

Luigi Carratino

Lorenzo Rosasco

Papers citing "Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times"

13 / 13 papers shown

Title
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 31 0 0 10 Apr 2025
Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm Sattar Vakili Julia Olkhovskaya 33 0 0 30 Oct 2024
The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs Qiyuan Chen Raed Al Kontar 38 1 0 18 Oct 2024
Quality with Just Enough Diversity in Evolutionary Policy Search Paul Templier Luca Grillotti Emmanuel Rachelson Dennis G. Wilson Antoine Cully 35 1 0 07 May 2024
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems Jason J. Choi F. Castañeda Wonsuhk Jung Bike Zhang Claire J. Tomlin Koushil Sreenath 37 3 0 23 Nov 2023
Batch Bayesian Optimization for Replicable Experimental Design Zhongxiang Dai Q. Nguyen Sebastian Shenghong Tay Daisuke Urano Richalynn Leong Bryan Kian Hsiang Low Patrick Jaillet 23 4 0 02 Nov 2023
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization I. Gemp Luke Marris Georgios Piliouras 22 7 0 10 Oct 2023
Quantum Bayesian Optimization Zhongxiang Dai Gregory Kang Ruey Lau Arun Verma Yao Shu K. H. Low Patrick Jaillet 42 10 0 09 Oct 2023
(Private) Kernelized Bandits with Distributed Biased Feedback Fengjiao Li Xingyu Zhou Bo Ji 33 5 0 28 Jan 2023
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 16 12 0 14 Oct 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili Jonathan Scarlett Da-shan Shiu A. Bernacchia 33 18 0 08 Feb 2022
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits Ilija Bogunovic Zihan Li Andreas Krause Jonathan Scarlett 17 7 0 03 Feb 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando Luigi Carratino S. Villa Lorenzo Rosasco 44 5 0 16 Jun 2021