Kai Wang

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Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchDirección de correo verificada de harvard.edu
Andrew PerraultAssistant Professor, Dept. of Computer Science and EngineeringDirección de correo verificada de osu.edu
Bryan WilderAssistant Professor of Machine Learning, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
Aditya MateHarvard UniversityDirección de correo verificada de g.harvard.edu
Phebe VayanosAssociate Professor at University of Southern California; Co-Director of Center for AI in SocietyDirección de correo verificada de usc.edu
Fei FangCarnegie Mellon UniversityDirección de correo verificada de cmu.edu
Lily XuPhD Student, Harvard UniversityDirección de correo verificada de g.harvard.edu
Elizabeth Bondi-KellyAssistant Professor, University of MichiganDirección de correo verificada de umich.edu
Finale Doshi-VelezProfessor, HarvardDirección de correo verificada de seas.harvard.edu
Nitin KamraResearch Scientist, Reality Labs Research, MetaDirección de correo verificada de meta.com
Umang GuptaUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Haipeng ChenAssistant professor of data science, William & MaryDirección de correo verificada de wm.edu
Haifeng XuUniversity of ChicagoDirección de correo verificada de uchicago.edu
Sze-chuan SuenUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCDirección de correo verificada de usc.edu
Hailey WinetrobeUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Yevgeniy VorobeychikWashington University in Saint LouisDirección de correo verificada de wustl.edu
Arunesh SinhaRutgers UniversityDirección de correo verificada de rutgers.edu
Ayan MukhopadhyayVanderbilt UniversityDirección de correo verificada de vanderbilt.edu
Sara McCarthyGoogle ResearchDirección de correo verificada de google.com

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Kai Wang

Georgia Institute of Technology

Dirección de correo verificada de gatech.edu - Página principal

Machine learning differentiable optimization multi-armed bandit algorithmic game theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Strategic coordination of human patrollers and mobile sensors with signaling for security games H Xu, K Wang, P Vayanos, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018	34	2018
Dual-mandate patrols: Multi-armed bandits for green security L Xu, E Bondi, F Fang, A Perrault, K Wang, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14974 …, 2021	28	2021
Automatically learning compact quality-aware surrogates for optimization problems K Wang, B Wilder, A Perrault, M Tambe Advances in Neural Information Processing Systems 33, 9586-9596, 2020	27	2020
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Problems by Reinforcement Learning K Wang, S Shah, H Chen, A Perrault, F Doshi-Velez, M Tambe arXiv preprint arXiv:2106.03279, 2021	23*	2021
Coordinating followers to reach better equilibria: End-to-end gradient descent for stackelberg games K Wang, L Xu, A Perrault, MK Reiter, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 36 (5), 5219-5227, 2022	22	2022
DeepFP for finding Nash equilibrium in continuous action spaces N Kamra, U Gupta, K Wang, F Fang, Y Liu, M Tambe Decision and Game Theory for Security: 10th International Conference …, 2019	18	2019
Scalable decision-focused learning in restless multi-armed bandits with application to maternal and child health K Wang, S Verma, A Mate, S Shah, A Taneja, N Madhiwalla, A Hegde, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (10), 12138 …, 2023	17	2023
Decision-focused learning without decision-making: Learning locally optimized decision losses S Shah, K Wang, B Wilder, A Perrault, M Tambe Advances in Neural Information Processing Systems 35, 1320-1332, 2022	15	2022
Scalable Game-Focused Learning of Adversary Models: Data-to-Decisions in Network Security Games. K Wang, A Perrault, A Mate, M Tambe AAMAS, 1449-1457, 2020	15	2020
Learning to signal in the goldilocks zone: Improving adversary compliance in security games S Cooney, K Wang, E Bondi, T Nguyen, P Vayanos, H Winetrobe, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020	15	2020
Deep fictitious play for games with continuous action spaces N Kamra, U Gupta, K Wang, F Fang, Y Liu, M Tambe Proceedings of the 18th International Conference on Autonomous Agents and …, 2019	13	2019
Improving GP-UCB algorithm by harnessing decomposed feedback K Wang, B Wilder, S Suen, B Dilkina, M Tambe Machine Learning and Knowledge Discovery in Databases: International …, 2020	8	2020
Optimistic whittle index policy: Online learning for restless bandits K Wang, L Xu, A Taneja, M Tambe Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 10131 …, 2023	6	2023
Decision-focused learning without differentiable optimization: Learning locally optimized decision losses S Shah, K Wang, B Wilder, A Perrault, M Tambe arXiv preprint arXiv:2203.16067, 2022	5	2022
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. S Verma, A Mate, K Wang, N Madhiwalla, A Hegde, A Taneja, M Tambe AAMAS, 1312-1320, 2023	4	2023
Robust Spatial-Temporal Incident Prediction A Mukhopadhyay, K Wang, A Perrault, M Kochenderfer, M Tambe, ... Conference on Uncertainty in Artificial Intelligence, 360-369, 2020	4	2020
Equilibrium Refinement in Security Games with Arbitrary Scheduling Constraints. K Wang, Q Guo, P Vayanos, M Tambe, B An AAMAS, 919-927, 2018	3	2018
The price of usability: Designing operationalizable strategies for security games SM McCARTHY, CM Laan, K Wang, P Vayanos, A Sinha, M Tambe IJCAI, 2018	3	2018
Mobile game theory with street gangs S Cooney, W Gomez, K Wang, J Leap, PJ Brantingham, M Tambe Machine Learning and Knowledge Discovery in Databases: International …, 2020	2	2020
Using Graph Convolutional Networks to Learn Interdiction Games K Wang, A Mate, B Wilder, A Perrault, M Tambe AI for Social Good Workshop, International Joint Conference on Artificial …, 2019	2	2019

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