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Collaborative Top Distribution Identifications with Limited Interaction
v1v2 (latest)

Collaborative Top Distribution Identifications with Limited Interaction

IEEE Annual Symposium on Foundations of Computer Science (FOCS), 2020
20 April 2020
Nikolai Karpov
Qin Zhang
Yuanshuo Zhou
ArXiv (abs)PDFHTML

Papers citing "Collaborative Top Distribution Identifications with Limited Interaction"

21 / 21 papers shown
Robust Batched Bandits
Robust Batched Bandits
Yunwen Guo
Yunlun Shu
Gongyi Zhuo
Tianyu Wang
129
0
0
04 Oct 2025
Near Optimal Best Arm Identification for Clustered Bandits
Near Optimal Best Arm Identification for Clustered Bandits
Yash
Nikhil Karamchandani
Avishek Ghosh
258
0
0
15 May 2025
The Batch Complexity of Bandit Pure Exploration
The Batch Complexity of Bandit Pure Exploration
Adrienne Tuynman
Rémy Degenne
422
2
0
03 Feb 2025
Breaking the $\log(1/\Delta_2)$ Barrier: Better Batched Best Arm Identification with Adaptive Grids
Breaking the log⁡(1/Δ2)\log(1/\Delta_2)log(1/Δ2​) Barrier: Better Batched Best Arm Identification with Adaptive Grids
Tianyuan Jin
Qin Zhang
Dongruo Zhou
280
0
0
29 Jan 2025
Batched Stochastic Bandit for Nondegenerate Functions
Batched Stochastic Bandit for Nondegenerate FunctionsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yu Liu
Yunlu Shu
Tianyu Wang
613
2
0
09 May 2024
Optimal Regret Bounds for Collaborative Learning in Bandits
Optimal Regret Bounds for Collaborative Learning in BanditsInternational Conference on Algorithmic Learning Theory (ALT), 2023
Amitis Shidani
Sattar Vakili
250
1
0
15 Dec 2023
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and
  No Communication
Optimal Cooperative Multiplayer Learning Bandits with Noisy Rewards and No CommunicationIEEE Conference on Decision and Control (CDC), 2023
William Chang
Yuanhao Lu
335
2
0
10 Nov 2023
Optimal Batched Best Arm Identification
Optimal Batched Best Arm IdentificationNeural Information Processing Systems (NeurIPS), 2023
Tianyuan Jin
Yu Yang
Jing Tang
Xiaokui Xiao
Pan Xu
315
7
0
21 Oct 2023
Pure Exploration in Asynchronous Federated Bandits
Pure Exploration in Asynchronous Federated BanditsConference on Uncertainty in Artificial Intelligence (UAI), 2023
Zichen Wang
Chuanhao Li
Chenyu Song
Lianghui Wang
Quanquan Gu
Huazheng Wang
FedML
322
6
0
17 Oct 2023
The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for
  Pure Exploration in Multi-armed Bandits
The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed BanditsAnnual Conference Computational Learning Theory (COLT), 2023
Sepehr Assadi
Chen Wang
365
4
0
06 Sep 2023
Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits
Tight Regret Bounds for Single-pass Streaming Multi-armed BanditsInternational Conference on Machine Learning (ICML), 2023
Chen Wang
218
8
0
03 Jun 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
Communication-Efficient Collaborative Regret Minimization in Multi-Armed
  Bandits
Communication-Efficient Collaborative Regret Minimization in Multi-Armed BanditsAAAI Conference on Artificial Intelligence (AAAI), 2023
Nikolai Karpov
Qin Zhang
412
2
0
26 Jan 2023
Federated Best Arm Identification with Heterogeneous Clients
Federated Best Arm Identification with Heterogeneous ClientsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Zhirui Chen
P. Karthik
Vincent Y. F. Tan
Yeow Meng Chee
FedML
353
9
0
14 Oct 2022
Communication-Efficient Collaborative Best Arm Identification
Communication-Efficient Collaborative Best Arm IdentificationAAAI Conference on Artificial Intelligence (AAAI), 2022
Nikolai Karpov
Qin Zhang
FedML
382
6
0
18 Aug 2022
Parallel Best Arm Identification in Heterogeneous Environments
Parallel Best Arm Identification in Heterogeneous EnvironmentsACM Symposium on Parallelism in Algorithms and Architectures (SPAA), 2022
Nikolai Karpov
Qin Zhang
476
8
0
16 Jul 2022
Near-Optimal Collaborative Learning in Bandits
Near-Optimal Collaborative Learning in BanditsNeural Information Processing Systems (NeurIPS), 2022
Clémence Réda
Sattar Vakili
E. Kaufmann
FedML
347
23
0
31 May 2022
Collaborative Pure Exploration in Kernel Bandit
Collaborative Pure Exploration in Kernel BanditInternational Conference on Learning Representations (ICLR), 2021
Yihan Du
Wei Chen
Yuko Kuroki
Longbo Huang
512
13
0
29 Oct 2021
Lipschitz Bandits with Batched Feedback
Lipschitz Bandits with Batched Feedback
Yasong Feng
Zengfeng Huang
Tianyu Wang
475
18
0
19 Oct 2021
Online Learning for Cooperative Multi-Player Multi-Armed Bandits
Online Learning for Cooperative Multi-Player Multi-Armed BanditsIEEE Conference on Decision and Control (CDC), 2021
William Chang
Mehdi Jafarnia-Jahromi
Rahul Jain
292
7
0
07 Sep 2021
Linear Bandits with Limited Adaptivity and Learning Distributional
  Optimal Design
Linear Bandits with Limited Adaptivity and Learning Distributional Optimal Design
Yufei Ruan
Jiaqi Yang
Yuanshuo Zhou
OffRL
490
64
0
04 Jul 2020
1
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