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Semantic ScholarMilind Tambe
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- affiliation: University of Southern California
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2020 – today
- 2020
[c358]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. AAAI 2020: 1369-1377- [c357]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
End-to-End Game-Focused Learning of Adversary Behavior in Security Games. AAAI 2020: 1378-1386 - [c356]Aaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. AAAI 2020: 1504-1511 - [c355]Sanket Shah, Arunesh Sinha, radeep Varakanthamp, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. AAAI 2020: 2226-2235 - [c354]Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Influence Maximization in Unknown Social Networks: Learning Policies for Effective Graph Sampling. AAMAS 2020: 575-583 - [c353]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Alpan Raval, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Network Recurrent Infectious Diseases Under Uncertainty. AAMAS 2020: 992-1000 - [c352]Kai Wang, Andrew Perrault, Aditya Mate, Milind Tambe:
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. AAMAS 2020: 1449-1457 - [c351]Edward A. Cranford, Cleotilde Gonzalez, Palvi Aggarwal, Sarah Cooney, Milind Tambe, Christian Lebiere:
Adaptive Cyber Deception: Cognitively Informed Signaling for Cyber Defense. HICSS 2020: 1-10 - [c350]Lily Xu, Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsabuga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations (Short Version). ICDE 2020: 1898-1901 - [c349]Elizabeth Bondi, Raghav Jain, Palash Aggrawal, Saket Anand, Robert Hannaford, Ashish Kapoor, Jim Piavis, Shital Shah, Lucas Joppa, Bistra Dilkina, Milind Tambe:
BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. WACV 2020: 1736-1745 - [p8]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Phebe Vayanos:
Game Theoretic Cyber Deception to Foil Adversarial Network Reconnaissance. Adaptive Autonomous Secure Cyber Systems 2020: 183-204 - [i35]Andrew Perrault, Fei Fang, Arunesh Sinha, Milind Tambe:
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline. CoRR abs/2001.00088 (2020) - [i34]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. CoRR abs/2006.06865 (2020) - [i33]Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe:
Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement. CoRR abs/2006.07590 (2020) - [i32]Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Eric Rice, Milind Tambe:
Fair Influence Maximization: A Welfare Optimization Approach. CoRR abs/2006.07906 (2020) - [i31]Kai Wang, Bryan Wilder, Andrew Perrault, Milind Tambe:
Automatically Learning Compact Quality-aware Surrogates for Optimization Problems. CoRR abs/2006.10815 (2020) - [i30]Lily Xu, Andrew Perrault, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Milind Tambe:
Game Theory on the Ground: The Effect of Increased Patrols on Deterring Poachers. CoRR abs/2006.12411 (2020)
2010 – 2019
- 2019
- [j76]Carla P. Gomes, Thomas G. Dietterich, Christopher Barrett, Jon Conrad, Bistra Dilkina
, Stefano Ermon, Fei Fang, Andrew Farnsworth, Alan Fern, Xiaoli Z. Fern, Daniel Fink, Douglas H. Fisher, Alexander Flecker, Daniel Freund, Angela Fuller, John M. Gregoire, John E. Hopcroft, Steve Kelling, J. Zico Kolter, Warren B. Powell, Nicole D. Sintov, John S. Selker, Bart Selman, Daniel Sheldon, David B. Shmoys, Milind Tambe, Weng-Keen Wong, Christopher Wood, Xiaojian Wu, Yexiang Xue, Amulya Yadav, Abdul-Aziz Yakubu, Mary Lou Zeeman:
Computational sustainability: computing for a better world and a sustainable future. Commun. ACM 62(9): 56-65 (2019) - [c348]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. AAAI 2019: 1658-1665 - [c347]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. AAAI 2019: 2020-2028 - [c346]Shahrzad Gholami, Amulya Yadav, Long Tran-Thanh, Bistra Dilkina, Milind Tambe:
Don't Put All Your Strategies in One Basket: Playing Green Security Games with Imperfect Prior Knowledge. AAMAS 2019: 395-403 - [c345]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. AAMAS 2019: 1838-1840 - [c344]Sarah Cooney, Phebe Vayanos, Thanh Hong Nguyen, Cleotilde Gonzalez, Christian Lebiere, Edward A. Cranford, Milind Tambe:
Warning Time: Optimizing Strategic Signaling for Security Against Boundedly Rational Adversaries. AAMAS 2019: 1892-1894 - [c343]Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
Deep Fictitious Play for Games with Continuous Action Spaces. AAMAS 2019: 2042-2044 - [c342]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Milind Tambe:
Robust Peer-Monitoring on Graphs with an Application to Suicide Prevention in Social Networks. AAMAS 2019: 2168-2170 - [c341]Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld:
General-Sum Cyber Deception Games under Partial Attacker Valuation Information. AAMAS 2019: 2215-2217 - [c340]Elizabeth Bondi, Hoon Oh, Haifeng Xu, Fei Fang, Bistra Dilkina, Milind Tambe:
Using Game Theory in Real Time in the Real World: A Conservation Case Study. AAMAS 2019: 2336-2338 - [c339]Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang, Yan Liu, Milind Tambe:
DeepFP for Finding Nash Equilibrium in Continuous Action Spaces. GameSec 2019: 238-258 - [c338]Omkar Thakoor, Milind Tambe, Phebe Vayanos, Haifeng Xu, Christopher Kiekintveld, Fei Fang:
Cyber Camouflage Games for Strategic Deception. GameSec 2019: 525-541 - [c337]Xinrun Wang, Milind Tambe, Branislav Bosanský, Bo An:
When Players Affect Target Values: Modeling and Solving Dynamic Partially Observable Security Games. GameSec 2019: 542-562 - [c336]Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. IJCAI 2019: 5997-6005 - [c335]Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data. KDD 2019: 2430-2438 - [c334]Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. NeurIPS 2019: 4674-4685 - [c333]Aida Rahmattalabi, Phebe Vayanos, Anthony Fulginiti, Eric Rice, Bryan Wilder, Amulya Yadav, Milind Tambe:
Exploring Algorithmic Fairness in Robust Graph Covering Problems. NeurIPS 2019: 15750-15761 - [c332]Kai Wang, Bryan Wilder, Sze-Chuan Suen, Bistra Dilkina, Milind Tambe:
Improving GP-UCB Algorithm by Harnessing Decomposed Feedback. PKDD/ECML Workshops (1) 2019: 555-569 - [c331]Sarah Cooney, Wendy Gomez, Kai Wang, Jorja Leap, P. Jeffrey Brantingham, Milind Tambe:
Mobile Game Theory with Street Gangs. PKDD/ECML Workshops (1) 2019: 579-589 - [c330]Sarah Cooney, Kai Wang, Elizabeth Bondi, Thanh Hong Nguyen, Phebe Vayanos, Hailey Winetrobe, Edward A. Cranford, Cleotilde Gonzalez, Christian Lebiere, Milind Tambe:
Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. ECML/PKDD (1) 2019: 725-740 - [i29]Gregory D. Hager, Ann W. Drobnis, Fei Fang, Rayid Ghani, Amy Greenwald, Terah Lyons, David C. Parkes, Jason Schultz, Suchi Saria, Stephen F. Smith, Milind Tambe:
Artificial Intelligence for Social Good. CoRR abs/1901.05406 (2019) - [i28]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). CoRR abs/1902.00171 (2019) - [i27]Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe:
Learning to Prescribe Interventions for Tuberculosis Patients using Digital Adherence Data. CoRR abs/1902.01506 (2019) - [i26]Andrew Perrault, Bryan Wilder, Eric Ewing, Aditya Mate, Bistra Dilkina, Milind Tambe:
Decision-Focused Learning of Adversary Behavior in Security Games. CoRR abs/1903.00958 (2019) - [i25]Alan Tsang, Bryan Wilder, Eric Rice, Milind Tambe, Yair Zick:
Group-Fairness in Influence Maximization. CoRR abs/1903.00967 (2019) - [i24]Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen, Andrew Perrault, Milind Tambe:
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty. CoRR abs/1903.06113 (2019) - [i23]Shahrzad Gholami, Lily Xu, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Rohit Singh, Mustapha Nsubaga, Joshua Mabonga, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Tom Okello, Eric Enyel:
Stay Ahead of Poachers: Illegal Wildlife Poaching Prediction and Patrol Planning Under Uncertainty with Field Test Evaluations. CoRR abs/1903.06669 (2019) - [i22]Bryan Wilder, Eric Ewing, Bistra Dilkina, Milind Tambe:
End to end learning and optimization on graphs. CoRR abs/1905.13732 (2019) - [i21]Aaron Ferber, Bryan Wilder, Bistra Dilkina, Milind Tambe:
MIPaaL: Mixed Integer Program as a Layer. CoRR abs/1907.05912 (2019) - [i20]Harshavardhan Kamarthi, Priyesh Vijayan, Bryan Wilder, Balaraman Ravindran, Milind Tambe:
Learning policies for Social network discovery with Reinforcement learning. CoRR abs/1907.11625 (2019) - [i19]Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Milind Tambe:
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning. CoRR abs/1911.08799 (2019) - 2018
- [c329]Shahrzad Gholami, Benjamin J. Ford, Debarun Kar, Fei Fang, Milind Tambe, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Evaluation of Predictive Models for Wildlife Poaching Activity through Controlled Field Test in Uganda. AAAI Workshops 2018: 344-347 - [c328]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. AAAI Workshops 2018: 522-529 - [c327]Bryan Wilder, Sze-Chuan Suen, Milind Tambe:
Preventing Infectious Disease in Dynamic Populations Under Uncertainty. AAAI 2018: 841-848 - [c326]Nitin Kamra, Umang Gupta, Fei Fang, Yan Liu, Milind Tambe:
Policy Learning for Continuous Space Security Games Using Neural Networks. AAAI 2018: 1103-1112 - [c325]Haifeng Xu, Kai Wang, Phebe Vayanos, Milind Tambe:
Strategic Coordination of Human Patrollers and Mobile Sensors With Signaling for Security Games. AAAI 2018: 1290-1297 - [c324]Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Maximizing Influence in an Unknown Social Network. AAAI 2018: 4743-4750 - [c323]Elizabeth Bondi, Fei Fang, Mark Hamilton, Debarun Kar, Donnabell Dmello, Jongmoo Choi, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe, Ram Nevatia:
SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. AAAI 2018: 7741-7746 - [c322]Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Influence Maximization for Social Network Based Substance Abuse Prevention. AAAI 2018: 8139-8140 - [c321]Hau Chan, Long Tran-Thanh, Bryan Wilder, Eric Rice, Phebe Vayanos, Milind Tambe:
Utilizing Housing Resources for Homeless Youth Through the Lens of Multiple Multi-Dimensional Knapsacks. AIES 2018: 41-47 - [c320]Sungyong Seo, Hau Chan, P. Jeffrey Brantingham, Jorja Leap, Phebe Vayanos, Milind Tambe, Yan Liu:
Partially Generative Neural Networks for Gang Crime Classification with Partial Information. AIES 2018: 257-263 - [c319]Shahrzad Gholami, Sara Mc Carthy, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga, Tom Okello, Eric Enyel:
Adversary Models Account for Imperfect Crime Data: Forecasting and Planning against Real-world Poachers. AAMAS 2018: 823-831 - [c318]Bryan Wilder, Han-Ching Ou, Kayla de la Haye, Milind Tambe:
Optimizing Network Structure for Preventative Health. AAMAS 2018: 841-849 - [c317]Aaron Schlenker, Omkar Thakoor, Haifeng Xu, Fei Fang, Milind Tambe, Long Tran-Thanh, Phebe Vayanos, Yevgeniy Vorobeychik:
Deceiving Cyber Adversaries: A Game Theoretic Approach. AAMAS 2018: 892-900 - [c316]Kai Wang, Qingyu Guo, Phebe Vayanos, Milind Tambe, Bo An:
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. AAMAS 2018: 919-927 - [c315]Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End-to-End Influence Maximization in the Field. AAMAS 2018: 1414-1422 - [c314]Amulya Yadav, Ritesh Noothigattu, Eric Rice, Laura Onasch-Vera, Leandro Soriano Marcolino, Milind Tambe:
Please be an Influencer?: Contingency-Aware Influence Maximization. AAMAS 2018: 1423-1431 - [c313]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the: Modeling Influence Spread in Natural-World Social Networks. AAMAS 2018: 1631-1639 - [c312]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
Inducible Equilibrium for Security Games. AAMAS 2018: 1947-1949 - [c311]Haifeng Xu, Shaddin Dughmi, Milind Tambe, Venil Loyd Noronha:
Mitigating the Curse of Correlation in Security Games by Entropy Maximization. AAMAS 2018: 2127-2129 - [c310]Edward A. Cranford, Christian Lebiere, Cleotilde Gonzalez, Sarah Cooney, Phebe Vayanos, Milind Tambe:
Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. CogSci 2018 - [c309]Mohammad Javad Azizi, Phebe Vayanos, Bryan Wilder, Eric Rice, Milind Tambe:
Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources. CPAIOR 2018: 35-51 - [c308]Elizabeth Bondi, Debadeepta Dey, Ashish Kapoor, Jim Piavis, Shital Shah, Fei Fang, Bistra Dilkina, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. COMPASS 2018: 40:1-40:12 - [c307]Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Scaling-Up Stackelberg Security Games Applications Using Approximations. GameSec 2018: 432-452 - [c306]Han-Ching Ou, Milind Tambe, Bistra Dilkina, Phebe Vayanos:
Imbalanced Collusive Security Games. GameSec 2018: 583-602 - [c305]Aida Rahmattalabi, Phebe Vayanos, Milind Tambe:
A Robust Optimization Approach to Designing Near-Optimal Strategies for Constant-Sum Monitoring Games. GameSec 2018: 603-622 - [c304]Bryan Wilder, Laura Onasch-Vera, Juliana Hudson, Jose Luna, Nicole Wilson, Robin Petering, Darlene Woo, Milind Tambe, Eric Rice:
End to end influence maximization for HIV prevention. AIH@IJCAI 2018: 181-192 - [c303]Sara Marie McCarthy, Corine M. Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe:
The Price of Usability: Designing Operationalizable Strategies for Security Games. IJCAI 2018: 454-460 - [c302]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. IJCAI 2018: 5399-5403 - [c301]Arunesh Sinha, Fei Fang, Bo An, Christopher Kiekintveld, Milind Tambe:
Stackelberg Security Games: Looking Beyond a Decade of Success. IJCAI 2018: 5494-5501 - [c300]Elizabeth Bondi, Ashish Kapoor, Debadeepta Dey, James Piavis, Shital Shah, Robert Hannaford, Arvind Iyer, Lucas Joppa, Milind Tambe:
Near Real-Time Detection of Poachers from Drones in AirSim. IJCAI 2018: 5814-5816 - [c299]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth. ECML/PKDD (3) 2018: 69-85 - [i18]Bryan Wilder, Bistra Dilkina, Milind Tambe:
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization. CoRR abs/1809.05504 (2018) - [i17]Marc Pujol-Gonzalez, Jesús Cerquides, Pedro Meseguer, Juan A. Rodríguez-Aguilar, Milind Tambe:
Decentralized dynamic task allocation for UAVs with limited communication range. CoRR abs/1809.07863 (2018) - [i16]Qingyu Guo, Jiarui Gan, Fei Fang, Long Tran-Thanh, Milind Tambe, Bo An:
On the Inducibility of Stackelberg Equilibrium for Security Games. CoRR abs/1811.03823 (2018) - 2017
- [j75]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe:
Every team deserves a second chance: an extended study on predicting team performance. Auton. Agents Multi Agent Syst. 31(5): 1003-1054 (2017) - [j74]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Brian C. Schwedock, Milind Tambe, Andrew Lemieux:
PAWS - A Deployed Game-Theoretic Application to Combat Poaching. AI Magazine 38(1): 23-36 (2017) - [j73]Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
Keeping it Real: Using Real-World Problems to Teach AI to Diverse Audiences. AI Magazine 38(2): 35-47 (2017) - [j72]Fei Fang, Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Predicting poaching for wildlife Protection. IBM J. Res. Dev. 61(6): 3 (2017) - [c298]Hau Chan, Eric Rice, Phebe Vayanos, Milind Tambe, Matthew Morton:
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth. AAAI Fall Symposia 2017: 149-157 - [c297]Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo:
Influence Maximization in the Field: The Arduous Journey from Emerging to Deployed Application. AAMAS 2017: 150-158 - [c296]Debarun Kar, Benjamin J. Ford, Shahrzad Gholami, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Cloudy with a Chance of Poaching: Adversary Behavior Modeling and Forecasting with Real-World Poaching Data. AAMAS 2017: 159-167 - [c295]Bryan Wilder, Amulya Yadav, Nicole Immorlica, Eric Rice, Milind Tambe:
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network. AAMAS 2017: 1305-1313 - [c294]Elizabeth Bondi, Fei Fang, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Arvind Iyer, Robert Hannaford:
VIOLA: Video Labeling Application for Security Domains. GameSec 2017: 377-396 - [c293]Haifeng Xu, Benjamin J. Ford, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Optimal Patrol Planning for Green Security Games with Black-Box Attackers. GameSec 2017: 458-477 - [c292]Bryan Wilder, Nicole Immorlica, Eric Rice, Milind Tambe:
Influence Maximization with an Unknown Network by Exploiting Community Structure. SocInf@IJCAI 2017: 2-7 - [c291]Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha:
Explanation Systems for Influence Maximization Algorithms. SocInf@IJCAI 2017: 8-19 - [c290]Aaron Schlenker, Haifeng Xu, Mina Guirguis, Christopher Kiekintveld, Arunesh Sinha, Milind Tambe, Solomon Y. Sonya, Darryl Balderas, Noah Dunstatter:
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts. IJCAI 2017: 381-387 - [c289]Sara Marie McCarthy, Phebe Vayanos, Milind Tambe:
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources. IJCAI 2017: 3770-3776 - [c288]Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe:
Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. IJCAI 2017: 4959-4963 - [c287]Shahrzad Gholami, Benjamin J. Ford, Fei Fang, Andrew J. Plumptre, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Mustapha Nsubaga, Joshua Mabonga:
Taking It for a Test Drive: A Hybrid Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test. ECML/PKDD (3) 2017: 292-304 - [i15]Haifeng Xu, Milind Tambe, Shaddin Dughmi, Venil Loyd Noronha:
The Curse of Correlation in Security Games and Principle of Max-Entropy. CoRR abs/1703.03912 (2017) - [i14]Lily Hu, Bryan Wilder, Amulya Yadav, Eric Rice, Milind Tambe:
Activating the "Breakfast Club": Modeling Influence Spread in Natural-World Social Networks. CoRR abs/1710.00364 (2017) - [i13]Elizabeth Bondi, Debarun Kar, Venil Loyd Noronha, Donnabell Dmello, Milind Tambe, Fei Fang, Arvind Iyer, Robert Hannaford:
Video Labeling for Automatic Video Surveillance in Security Domains. CoRR abs/1710.08526 (2017) - [i12]Arunesh Sinha, Aaron Schlenker, Donnabell Dmello, Milind Tambe:
Practical Scalability for Stackelberg Security Games. CoRR abs/1711.04208 (2017) - 2016
- [j71]Debarun Kar, Fei Fang, Francesco Maria Delle Fave, Nicole D. Sintov, Milind Tambe, Arnaud Lyet:
Comparing human behavior models in repeated Stackelberg security games: An extended study. Artif. Intell. 240: 65-103 (2016) - [j70]Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael:
PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Magazine 37(2): 47-62 (2016) - [j69]Chao Zhang, Shahrzad Gholami, Debarun Kar, Arunesh Sinha, Manish Jain, Ripple Goyal, Milind Tambe:
Keeping Pace with Criminals: An Extended Study of Designing Patrol Allocation against Adaptive Opportunistic Criminals. Games 7(3): 15 (2016) - [c286]Matthew Brown, Arunesh Sinha, Aaron Schlenker, Milind Tambe:
One Size Does Not Fit All: A Game-Theoretic Approach for Dynamically and Effectively Screening for Threats. AAAI 2016: 425-431 - [c285]Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe:
Simultaneous Influencing and Mapping for Health Interventions. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c284]Sara Marie McCarthy, Milind Tambe, Christopher Kiekintveld, Meredith L. Gore, Alex Killion:
Preventing Illegal Logging: Simultaneous Optimization of Resource Teams and Tactics for Security. AAAI 2016: 3880-3886 - [c283]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe, Andrew Lemieux:
Deploying PAWS: Field Optimization of the Protection Assistant for Wildlife Security. AAAI 2016: 3966-3973 - [c282]Thanh Hong Nguyen, Arunesh Sinha, Milind Tambe:
Conquering Adversary Behavioral Uncertainty in Security Games: An Efficient Modeling Robust Based Algorithm. AAAI 2016: 4242-4243 - [c281]Fei Fang, Thanh Hong Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Amandeep Singh, Milind Tambe:
Deploying PAWS to Combat Poaching: Game-Theoretic Patrolling in Areas with Complex Terrain (Demonstration). AAAI 2016: 4355-4356 - [c280]Thanh Hong Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew J. Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin M. Beale:
Protecting Wildlife under Imperfect Observation. AAAI Workshop: Computer Poker and Imperfect Information Games 2016 - [c279]Nicole D. Sintov, Debarun Kar, Thanh Hong Nguyen, Fei Fang, Kevin Hoffman, Arnaud Lyet, Milind Tambe:
From the Lab to the Classroom and Beyond: Extending a Game-Based Research Platform for Teaching AI to Diverse Audiences. AAAI 2016: 4107-4112 - [c278]Amulya Yadav, Hau Chan, Albert Xin Jiang, Eric Rice, Ece Kamar, Barbara J. Grosz, Milind Tambe:
POMDPs for Assisting Homeless Shelters - Computational and Deployment Challenges. AAMAS Workshops (Visionary Papers) 2016: 67-87 - [c277]Yundi Qian, Chao Zhang, Bhaskar Krishnamachari, Milind Tambe:
Restless Poachers: Handling Exploration-Exploitation Tradeoffs in Security Domains. AAMAS 2016: 123-131 - [c276]