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Finite-Time Analysis of Kernelised Contextual Bandits

Finite-Time Analysis of Kernelised Contextual Bandits

26 September 2013
Michal Valko
N. Korda
Rémi Munos
I. Flaounas
N. Cristianini
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Papers citing "Finite-Time Analysis of Kernelised Contextual Bandits"

16 / 66 papers shown
Title
Differentially-Private Federated Linear Bandits
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey
Alex Pentland
FedML
32
115
0
22 Oct 2020
Neural Thompson Sampling
Neural Thompson Sampling
Weitong Zhang
Dongruo Zhou
Lihong Li
Quanquan Gu
34
115
0
02 Oct 2020
On Information Gain and Regret Bounds in Gaussian Process Bandits
On Information Gain and Regret Bounds in Gaussian Process Bandits
Sattar Vakili
Kia Khezeli
Victor Picheny
GP
27
128
0
15 Sep 2020
Self-Supervised Contextual Bandits in Computer Vision
Self-Supervised Contextual Bandits in Computer Vision
A. Deshmukh
Abhimanu Kumar
Levi Boyles
Denis Xavier Charles
Eren Manavoglu
Ürün Dogan
SSL
31
3
0
18 Mar 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
37
51
0
04 Mar 2020
Distributionally Robust Bayesian Optimization
Distributionally Robust Bayesian Optimization
Johannes Kirschner
Ilija Bogunovic
Stefanie Jegelka
Andreas Krause
45
77
0
20 Feb 2020
Improved Optimistic Algorithms for Logistic Bandits
Improved Optimistic Algorithms for Logistic Bandits
Louis Faury
Marc Abeille
Clément Calauzènes
Olivier Fercoq
23
85
0
18 Feb 2020
Neural Contextual Bandits with UCB-based Exploration
Neural Contextual Bandits with UCB-based Exploration
Dongruo Zhou
Lihong Li
Quanquan Gu
36
15
0
11 Nov 2019
Smooth Contextual Bandits: Bridging the Parametric and
  Non-differentiable Regret Regimes
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
Yichun Hu
Nathan Kallus
Xiaojie Mao
32
34
0
05 Sep 2019
Stochastic Bandits with Context Distributions
Stochastic Bandits with Context Distributions
Johannes Kirschner
Andreas Krause
29
30
0
06 Jun 2019
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and
  Regret Bound
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin F. Yang
Mengdi Wang
OffRL
GP
26
283
0
24 May 2019
Simple Regret Minimization for Contextual Bandits
Simple Regret Minimization for Contextual Bandits
A. Deshmukh
Srinagesh Sharma
J. Cutler
M. Moldwin
Clayton Scott
20
24
0
17 Oct 2018
Multi-objective Contextual Bandit Problem with Similarity Information
Multi-objective Contextual Bandit Problem with Similarity Information
E. Turğay
Doruk Öner
Cem Tekin
21
36
0
11 Mar 2018
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective
Cem Tekin
E. Turğay
36
36
0
18 Aug 2017
On Kernelized Multi-armed Bandits
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury
Aditya Gopalan
35
449
0
03 Apr 2017
A Survey on Contextual Multi-armed Bandits
A Survey on Contextual Multi-armed Bandits
Li Zhou
20
124
0
13 Aug 2015
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