ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2301.12061
  4. Cited By
(Private) Kernelized Bandits with Distributed Biased Feedback

(Private) Kernelized Bandits with Distributed Biased Feedback

28 January 2023
Fengjiao Li
Xingyu Zhou
Bo Ji
ArXivPDFHTML

Papers citing "(Private) Kernelized Bandits with Distributed Biased Feedback"

7 / 7 papers shown
Title
Federated Online Prediction from Experts with Differential Privacy:
  Separations and Regret Speed-ups
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
Fengyu Gao
Ruiquan Huang
Jing Yang
FedML
20
0
0
27 Sep 2024
Differentially Private Episodic Reinforcement Learning with Heavy-tailed
  Rewards
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards
Yulian Wu
Xingyu Zhou
Sayak Ray Chowdhury
Di Wang
15
2
0
01 Jun 2023
On Differentially Private Federated Linear Contextual Bandits
On Differentially Private Federated Linear Contextual Bandits
Xingyu Zhou
Sayak Ray Chowdhury
FedML
17
13
0
27 Feb 2023
Misspecified Gaussian Process Bandit Optimization
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
49
41
0
09 Nov 2021
Gaussian Process Bandit Optimization with Few Batches
Gaussian Process Bandit Optimization with Few Batches
Zihan Li
Jonathan Scarlett
GP
123
47
0
15 Oct 2021
Federated Bayesian Optimization via Thompson Sampling
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
79
109
0
20 Oct 2020
Prochlo: Strong Privacy for Analytics in the Crowd
Prochlo: Strong Privacy for Analytics in the Crowd
Andrea Bittau
Ulfar Erlingsson
Petros Maniatis
Ilya Mironov
A. Raghunathan
David Lie
Mitch Rudominer
Ushasree Kode
J. Tinnés
B. Seefeld
79
278
0
02 Oct 2017
1