Media Summary: Author: Xinran He, Computer Science Department, University of Southern California Abstract: Uncertainty about models and data ... Author: Wei Chen, Microsoft Research Asia, Microsoft Research Abstract: In this paper, we address the important issue of ... Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia) ...

Robust Influence Maximization - Detailed Analysis & Overview

Author: Xinran He, Computer Science Department, University of Southern California Abstract: Uncertainty about models and data ... Author: Wei Chen, Microsoft Research Asia, Microsoft Research Abstract: In this paper, we address the important issue of ... Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia) ... All right guys let's get started um the topic for today's lecture is information diffusion and Dr. Divya Padmanabhan is an Assistant Professor at the School of Mathematics and Computer Science at IIT Goa. Previously she ... Zhang Shiqi, National University of Singapore.

Authors: Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart Abstract: Social networks are commonly used for ... Bryan Wilder, Harvard Mar 6, 2020 Title: Group-Fairness in Stefanie Jegelka, Professor at MIT, presents recent work on Authors: Lichao Sun (University of Illinois at Chicago); Weiran Huang (Tsinghua University); Philip Yu (University of Illinois at ...

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Robust Influence Maximization
Robust Influence Maximization
Influence Maximization with Visual Analytics | VIS 2023
Factorization Bandits for Online Influence Maximization
Correlation Robust Influence Maximization, by Divya Padmanabhan
Sberloga with Graphs 14. Influence Maximization in Networks
Lecture 18. Diffusion of Information and Influence Maximization
Dr. Divya Padmanabhan Title: Influence Maximization in Social Networks
KDD 2023 - Capacity Constrained Influence Maximization in Social Networks
Online Influence Maximization
Bryan Wilder: Group-Fairness in Influence Maximization
Robust Learning via Robust Optimization - Stefanie Jegelka
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Robust Influence Maximization

Robust Influence Maximization

Author: Xinran He, Computer Science Department, University of Southern California Abstract: Uncertainty about models and data ...

Robust Influence Maximization

Robust Influence Maximization

Author: Wei Chen, Microsoft Research Asia, Microsoft Research Abstract: In this paper, we address the important issue of ...

Influence Maximization with Visual Analytics | VIS 2023

Influence Maximization with Visual Analytics | VIS 2023

TVCG Invited Presentations:

Factorization Bandits for Online Influence Maximization

Factorization Bandits for Online Influence Maximization

Authors: Qingyun Wu (University of Virginia);Zhige Li (Shanghai Jiao Tong University);Huazheng Wang (University of Virginia) ...

Correlation Robust Influence Maximization, by Divya Padmanabhan

Correlation Robust Influence Maximization, by Divya Padmanabhan

We discuss a distributionally

Sberloga with Graphs 14. Influence Maximization in Networks

Sberloga with Graphs 14. Influence Maximization in Networks

Лекция 14 "

Lecture 18. Diffusion of Information and Influence Maximization

Lecture 18. Diffusion of Information and Influence Maximization

All right guys let's get started um the topic for today's lecture is information diffusion and

Dr. Divya Padmanabhan Title: Influence Maximization in Social Networks

Dr. Divya Padmanabhan Title: Influence Maximization in Social Networks

Dr. Divya Padmanabhan is an Assistant Professor at the School of Mathematics and Computer Science at IIT Goa. Previously she ...

KDD 2023 - Capacity Constrained Influence Maximization in Social Networks

KDD 2023 - Capacity Constrained Influence Maximization in Social Networks

Zhang Shiqi, National University of Singapore.

Online Influence Maximization

Online Influence Maximization

Authors: Siyu Lei, Silviu Maniu, Luyi Mo, Reynold Cheng, Pierre Senellart Abstract: Social networks are commonly used for ...

Bryan Wilder: Group-Fairness in Influence Maximization

Bryan Wilder: Group-Fairness in Influence Maximization

Bryan Wilder, Harvard Mar 6, 2020 Title: Group-Fairness in

Robust Learning via Robust Optimization - Stefanie Jegelka

Robust Learning via Robust Optimization - Stefanie Jegelka

Stefanie Jegelka, Professor at MIT, presents recent work on

Multi-Round Influence Maximization

Multi-Round Influence Maximization

Authors: Lichao Sun (University of Illinois at Chicago); Weiran Huang (Tsinghua University); Philip Yu (University of Illinois at ...