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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by
  Adaptive Discretization

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization

16 June 2021
Marco Rando
Luigi Carratino
S. Villa
Lorenzo Rosasco
ArXivPDFHTML

Papers citing "Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization"

6 / 6 papers shown
Title
Bayesian Optimization by Kernel Regression and Density-based Exploration
Bayesian Optimization by Kernel Regression and Density-based Exploration
Tansheng Zhu
Hongyu Zhou
Ke Jin
Xusheng Xu
Qiufan Yuan
Lijie Ji
126
0
0
10 Feb 2025
Iterative regularization in classification via hinge loss diagonal
  descent
Iterative regularization in classification via hinge loss diagonal descent
Vassilis Apidopoulos
T. Poggio
Lorenzo Rosasco
S. Villa
24
2
0
24 Dec 2022
Global Optimization with Parametric Function Approximation
Global Optimization with Parametric Function Approximation
Chong Liu
Yu-Xiang Wang
20
7
0
16 Nov 2022
Optimistic Optimization of Gaussian Process Samples
Optimistic Optimization of Gaussian Process Samples
Julia Grosse
Cheng Zhang
Philipp Hennig
GP
8
0
0
02 Sep 2022
Stochastic Zeroth order Descent with Structured Directions
Stochastic Zeroth order Descent with Structured Directions
Marco Rando
C. Molinari
S. Villa
Lorenzo Rosasco
23
6
0
10 Jun 2022
Bayesian Multi-Scale Optimistic Optimization
Bayesian Multi-Scale Optimistic Optimization
Ziyun Wang
B. Shakibi
L. Jin
Nando de Freitas
80
95
0
27 Feb 2014
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