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Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS

Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS

11 May 2020
S. Shekhar
T. Javidi
ArXiv (abs)PDFHTML

Papers citing "Multi-Scale Zero-Order Optimization of Smooth Functions in an RKHS"

15 / 15 papers shown
Title
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
S. Iwazaki
Shion Takeno
129
3
0
10 Feb 2025
Differentially Private Kernelized Contextual Bandits
Differentially Private Kernelized Contextual Bandits
Nikola Pavlovic
Sudeep Salgia
Qing Zhao
80
1
0
13 Jan 2025
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity
  Constraints
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
Arpan Losalka
Jonathan Scarlett
56
2
0
05 Jun 2024
On the Sublinear Regret of GP-UCB
On the Sublinear Regret of GP-UCB
Justin Whitehouse
Zhiwei Steven Wu
Aaditya Ramdas
76
16
0
14 Jul 2023
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits
Adaptation to Misspecified Kernel Regularity in Kernelised Bandits
Yusha Liu
Aarti Singh
65
2
0
26 Apr 2023
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
Zihan Li
Jonathan Scarlett
70
2
0
10 Nov 2022
Instance-Dependent Regret Analysis of Kernelized Bandits
Instance-Dependent Regret Analysis of Kernelized Bandits
S. Shekhar
T. Javidi
57
4
0
12 Mar 2022
On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature
On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature
Xu Cai
Chi Thanh Lam
Jonathan Scarlett
62
3
0
22 Feb 2022
Open Problem: Tight Online Confidence Intervals for RKHS Elements
Open Problem: Tight Online Confidence Intervals for RKHS Elements
Sattar Vakili
John Scarlett
T. Javidi
83
21
0
28 Oct 2021
Gaussian Process Bandit Optimization with Few Batches
Gaussian Process Bandit Optimization with Few Batches
Zihan Li
Jonathan Scarlett
GP
191
49
0
15 Oct 2021
Optimal Order Simple Regret for Gaussian Process Bandits
Optimal Order Simple Regret for Gaussian Process Bandits
Sattar Vakili
N. Bouziani
Sepehr Jalali
A. Bernacchia
Da-shan Shiu
99
55
0
20 Aug 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by
  Adaptive Discretization
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
Marco Rando
Luigi Carratino
S. Villa
Lorenzo Rosasco
93
6
0
16 Jun 2021
Lenient Regret and Good-Action Identification in Gaussian Process
  Bandits
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
Xu Cai
S. Gomes
Jonathan Scarlett
79
10
0
11 Feb 2021
A Domain-Shrinking based Bayesian Optimization Algorithm with
  Order-Optimal Regret Performance
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Sudeep Salgia
Sattar Vakili
Qing Zhao
108
34
0
27 Oct 2020
On Lower Bounds for Standard and Robust Gaussian Process Bandit
  Optimization
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Xu Cai
Jonathan Scarlett
111
31
0
20 Aug 2020
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