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2011.06378
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Online Influence Maximization under Linear Threshold Model
Neural Information Processing Systems (NeurIPS), 2020
12 November 2020
Shuai Li
Fang-yuan Kong
Kejie Tang
Qizhi Li
Wei Chen
Re-assign community
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Papers citing
"Online Influence Maximization under Linear Threshold Model"
18 / 18 papers shown
Efficient PAC Learnability of Dynamical Systems Over Multilayer Networks
Zirou Qiu
Abhijin Adiga
Madhav V. Marathe
S. S. Ravi
D. Rosenkrantz
R. Stearns
Anil Vullikanti
272
1
0
11 May 2024
Combinatorial Stochastic-Greedy Bandit
AAAI Conference on Artificial Intelligence (AAAI), 2023
Fares Fourati
Christopher J. Quinn
Mohamed-Slim Alouini
Vaneet Aggarwal
279
12
0
13 Dec 2023
Online Influence Maximization: Concept and Algorithm
Jianxiong Guo
192
0
0
30 Nov 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
International Conference on Machine Learning (ICML), 2023
Zongqi Wan
Jialin Zhang
Wei Chen
Xiaoming Sun
Zhijie Zhang
390
11
0
21 May 2023
Online Influence Maximization under Decreasing Cascade Model
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Fang-yuan Kong
Jize Xie
Baoxiang Wang
Tao Yao
Shuai Li
156
6
0
19 May 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
International Conference on Machine Learning (ICML), 2023
Xutong Liu
Jinhang Zuo
Siwei Wang
John C. S. Lui
Mohammad Hajiesmaili
Adam Wierman
Wei Chen
204
24
0
30 Mar 2023
Randomized Greedy Learning for Non-monotone Stochastic Submodular Maximization Under Full-bandit Feedback
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Fares Fourati
Vaneet Aggarwal
Christopher J. Quinn
Mohamed-Slim Alouini
221
18
0
02 Feb 2023
Combinatorial Causal Bandits without Graph Skeleton
Asian Conference on Machine Learning (ACML), 2023
Shi Feng
Nuoya Xiong
Wei Chen
CML
340
6
0
31 Jan 2023
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
Neural Information Processing Systems (NeurIPS), 2022
Xutong Liu
Jinhang Zuo
Siwei Wang
Carlee Joe-Wong
John C. S. Lui
Wei Chen
411
28
0
31 Aug 2022
A Community-Aware Framework for Social Influence Maximization
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2022
A. Umrawal
Christopher J. Quinn
Vaneet Aggarwal
259
29
0
18 Jul 2022
Provably Efficient Reinforcement Learning for Online Adaptive Influence Maximization
Kaixuan Huang
Yuehua Wu
Xuezhou Zhang
Shenyinying Tu
Qingyun Wu
Mengdi Wang
Huazheng Wang
259
1
0
29 Jun 2022
Combinatorial Pure Exploration of Causal Bandits
International Conference on Learning Representations (ICLR), 2022
Nuoya Xiong
Wei Chen
CML
351
10
0
16 Jun 2022
Combinatorial Causal Bandits
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shi Feng
Wei Chen
CML
445
16
0
04 Jun 2022
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle
Fang-yuan Kong
Yueran Yang
Wei Chen
Shuai Li
200
9
0
08 Nov 2021
Online Influence Maximization under the Independent Cascade Model with Node-Level Feedback
Zhijie Zhang
Wei Chen
Xiaoming Sun
Jialin Zhang
306
1
0
13 Sep 2021
Online Learning of Independent Cascade Models with Node-level Feedback
Mathematics of Operations Research (MOR), 2021
Shuoguang Yang
Van-Anh Truong
282
6
0
06 Sep 2021
Online Competitive Influence Maximization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Jinhang Zuo
Xutong Liu
Carlee Joe-Wong
John C. S. Lui
Wei Chen
564
15
0
24 Jun 2020
Online Learning and Optimization Under a New Linear-Threshold Model with Negative Influence
Shuoguang Yang
Shatian Wang
Van-Anh Truong
253
5
0
08 Nov 2019
1
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