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Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by
  Adaptive Discretization
v1v2v3 (latest)

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

16 June 2021
Marco Rando
Luigi Carratino
S. Villa
Lorenzo Rosasco
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Generalized Kernelized Bandits: A Novel Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds
Generalized Kernelized Bandits: A Novel Self-Normalized Bernstein-Like Dimension-Free Inequality and Regret Bounds
Alberto Maria Metelli
Simone Drago
Marco Mussi
130
2
0
03 Aug 2025
A Structured Tour of Optimization with Finite Differences
A Structured Tour of Optimization with Finite Differences
Marco Rando
C. Molinari
Lorenzo Rosasco
S. Villa
364
0
0
26 May 2025
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
1.1K
1
0
10 Feb 2025
Iterative regularization in classification via hinge loss diagonal
  descent
Iterative regularization in classification via hinge loss diagonal descentInverse Problems (IP), 2022
Vassilis Apidopoulos
T. Poggio
Lorenzo Rosasco
S. Villa
193
2
0
24 Dec 2022
Global Optimization with Parametric Function Approximation
Global Optimization with Parametric Function ApproximationInternational Conference on Machine Learning (ICML), 2022
Chong Liu
Yu Wang
375
8
0
16 Nov 2022
Optimistic Optimization of Gaussian Process Samples
Optimistic Optimization of Gaussian Process Samples
Julia Grosse
Cheng Zhang
Philipp Hennig
GP
215
0
0
02 Sep 2022
Stochastic Zeroth order Descent with Structured Directions
Stochastic Zeroth order Descent with Structured DirectionsComputational optimization and applications (Comput. Optim. Appl.), 2022
Marco Rando
C. Molinari
S. Villa
Lorenzo Rosasco
211
12
0
10 Jun 2022
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