Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2105.05806
Cited By
High-Dimensional Experimental Design and Kernel Bandits
12 May 2021
Romain Camilleri
Julian Katz-Samuels
Kevin G. Jamieson
Re-assign community
ArXiv
PDF
HTML
Papers citing
"High-Dimensional Experimental Design and Kernel Bandits"
18 / 18 papers shown
Title
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance
S. Iwazaki
Shion Takeno
83
1
0
10 Feb 2025
Enhancing Preference-based Linear Bandits via Human Response Time
Shen Li
Yuyang Zhang
Zhaolin Ren
Claire Liang
Na Li
J. Shah
42
0
0
03 Jan 2025
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai
Jonathan Scarlett
41
0
0
22 Oct 2024
Online Network Source Optimization with Graph-Kernel MAB
Laura Toni
P. Frossard
31
1
0
07 Jul 2023
(Private) Kernelized Bandits with Distributed Biased Feedback
Fengjiao Li
Xingyu Zhou
Bo Ji
35
5
0
28 Jan 2023
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
38
14
0
25 Oct 2022
Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback
Adhyyan Narang
Omid Sadeghi
Lillian J. Ratliff
Maryam Fazel
J. Bilmes
OffRL
18
1
0
07 Jul 2022
Active Learning with Safety Constraints
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin G. Jamieson
28
12
0
22 Jun 2022
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces
Mojmír Mutný
Andreas Krause
35
11
0
26 May 2022
Instance-Dependent Regret Analysis of Kernelized Bandits
S. Shekhar
T. Javidi
27
3
0
12 Mar 2022
Efficient Kernel UCB for Contextual Bandits
Houssam Zenati
A. Bietti
Eustache Diemert
Julien Mairal
Matthieu Martin
Pierre Gaillard
29
3
0
11 Feb 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
An Experimental Design Approach for Regret Minimization in Logistic Bandits
Blake Mason
Kwang-Sung Jun
Lalit P. Jain
29
10
0
04 Feb 2022
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
57
43
0
09 Nov 2021
Nearly Optimal Algorithms for Level Set Estimation
Blake Mason
Romain Camilleri
Subhojyoti Mukherjee
Kevin G. Jamieson
Robert D. Nowak
Lalit P. Jain
30
22
0
02 Nov 2021
Collaborative Pure Exploration in Kernel Bandit
Yihan Du
Wei Chen
Yuko Kuroki
Longbo Huang
45
10
0
29 Oct 2021
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits
Yinglun Zhu
Julian Katz-Samuels
Robert D. Nowak
38
6
0
10 Sep 2021
Pure Exploration in Kernel and Neural Bandits
Yinglun Zhu
Dongruo Zhou
Ruoxi Jiang
Quanquan Gu
Rebecca Willett
Robert D. Nowak
13
15
0
22 Jun 2021
1