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Nonparametric Contextual Bandits in an Unknown Metric Space

Nonparametric Contextual Bandits in an Unknown Metric Space

Neural Information Processing Systems (NeurIPS), 2019
3 August 2019
Nirandika Wanigasekara
Chao Yu
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Contextual Bandits in an Unknown Metric Space"

8 / 8 papers shown
Contextual Bandits for Unbounded Context Distributions
Contextual Bandits for Unbounded Context Distributions
Puning Zhao
Yan Han
Zhe Liu
Huiwen Wu
Qin Zhang
Zong Ke
Tianhang Zheng
660
16
0
19 Aug 2024
Online Algorithms with Uncertainty-Quantified Predictions
Online Algorithms with Uncertainty-Quantified PredictionsInternational Conference on Machine Learning (ICML), 2023
Bo Sun
Jerry Huang
Nicolas H. Christianson
Mohammad Hajiesmaili
Adam Wierman
Raouf Boutaba
213
12
0
17 Oct 2023
From Random Search to Bandit Learning in Metric Measure Spaces
From Random Search to Bandit Learning in Metric Measure Spaces
Chuying Han
Yasong Feng
Tianyu Wang
484
3
0
19 May 2023
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
A Lipschitz Bandits Approach for Continuous Hyperparameter Optimization
Yasong Feng
Weijian Luo
Yimin Huang
Tianyu Wang
410
10
0
03 Feb 2023
Lipschitz Bandits with Batched Feedback
Lipschitz Bandits with Batched Feedback
Yasong Feng
Zengfeng Huang
Tianyu Wang
466
17
0
19 Oct 2021
Bandits for BMO Functions
Bandits for BMO FunctionsInternational Conference on Machine Learning (ICML), 2020
Tianyu Wang
Cynthia Rudin
166
5
0
17 Jul 2020
Adaptive Discretization for Model-Based Reinforcement Learning
Adaptive Discretization for Model-Based Reinforcement Learning
Sean R. Sinclair
Tianyu Wang
Gauri Jain
Siddhartha Banerjee
Chao Yu
OffRL
260
24
0
01 Jul 2020
Adaptive Discretization for Episodic Reinforcement Learning in Metric
  Spaces
Adaptive Discretization for Episodic Reinforcement Learning in Metric SpacesProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2019
Sean R. Sinclair
Siddhartha Banerjee
Chao Yu
OffRL
232
41
0
17 Oct 2019
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