Publications by Year: 2019

Title Author Published At
End to End Learning and Optimization on Graphs Bryan Wilder, Eric Ewing, Bistra Dilkina, and Milind Tambe In Advances in Neural and Information Processing Systems (NeurIPS-19), 2019
Exploring Algorithmic Fairness in Robust Graph Covering Problems Aida Rahmattalabi, Phebe Vayanos ∗, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, and Milind Tambe In Advances in Neural and Information Processing Systems (NeurIPS-19), 2019
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data Jackson Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2019
Mobile Game Theory with Street Gangs Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jefferey Brantingham, and Milind Tambe The 4th Workshop on Data Science for Social Good at ECML-PKDD, 2019
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games Xinrun Wang, Milind Tambe, Branislav Boˇsansky ́, Bo An Conference on Decision and Game Theory for Security, 2019
Cyber Camouflage Games for Strategic Deception Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, and Fei Feng Conference on Decision and Game Theory for Security, 2019
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, and Milind Tambe Conference on Decision and Game Theory for Security, 2019
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe Joint Workshop on Autonomous Agents for Social Good (AASG) at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19)
Decision-Focused Learning of Adversary Behavior in Security Games Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe GAIW: Games, Agents and Incentives Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19)
Predicting and Planning against Real-world Adversaries: An End-to-end Pipeline to Combat Illegal Wildlife Poachers on a Global Scale Shahrzad Gholami PhD Thesis
General-Sum Cyber Deception Games under Partial Attacker Valuation Information Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19)
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study) Aida Rahmattalabi, Anamika Barman Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker Strategic Reasoning for Societal Challenges (SRSC) Workshop at International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19)
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19)
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries Sarah Cooney, Phebe Vayanos, Thanh H. Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19)
Broken Signals in Security Games: Coordinating Mobile Patrollers and Sensors in the Real World (Extended Abstract) Elizabeth Bondi and Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19)
Using Game Theory in Real Time in the Real World: A Conservation Case Study (Demonstration) Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe International Conference on Autonomous Agents and Multiagent Systems (Demonstration) (AAMAS-19)
Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development Elizabeth Bondi International Conference on Autonomous Agents and Multiagent Systems (Doctoral Consortium) (AAMAS-19)
Deep Fictitious Play for Games with Continuous Action Spaces Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe International Conference on Autonomous Agents and Multiagent Systems (Extended Abstract) (AAMAS-19)
Don’t Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe International Conference on Autonomous Agents and Multiagent Systems (AAMAS-19)
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization Bryan Wilder, Bistra Dilkina, Milind Tambe AAAI conference on Artificial Intelligence (AAAI-19)
On the Inducibility of Stackelberg Equilibrium for Security Games Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An AAAI conference on Artificial Intelligence (AAAI-19)
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere,  Milind Tambe European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, (ECML-PKDD), 2019
Group-Fairness in Influence Maximization Alan Tsang , Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick International Joint Conference on Artificial Intelligence (IJCAI) 2019
Visionary Security: Using Uncertain Real-Time Information in Signaling Games Elizabeth Bondi International Joint Conference on Artificial Intelligence (IJCAI) 2019 (Doctoral Consortium)
Towards Personalized Deceptive Signaling for Cyber Defense Using Cognitive Models Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere International Conference on Cognitive Modeling (ICCM), 2019
Integrating optimization and learning to prescribe interventions for tuberculosis patients Bryan Wilder, Jackson A. Killian, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe 10th International Workshop on Optimization in Multiagent Systems (OptMAS)
Using Graph Convolutional Networks to Learn Interdiction Games Kai Wang, Aditya Mate, Bryan Wilder, Andrew Perrault, Milind Tambe AI for Social Good workshop (AI4SG) at International Joint Conference on Artificial Intelligence (IJCAI) 2019

Improving GP-UCB Algorithm by Harnessing Decomposed Feedback

Kai Wang, Bryan Wilder, Sze-chuan Suen, Bistra Dilkina, Milind Tambe The 4th Workshop on Data Science for Social Good at ECML-PKDD, 2019