| Learning optimal and fair decision trees for non-discriminative decision-making S Aghaei, MJ Azizi, P Vayanos Proceedings of the AAAI conference on artificial intelligence 33 (01), 1418-1426, 2019 | 210 | 2019 |
| Deceiving cyber adversaries: A game theoretic approach A Schlenker, O Thakoor, H Xu, F Fang, M Tambe, L Tran-Thanh, ... AAMAS'18: Proceedings of the 17th International Conference on Autonomous …, 2018 | 129 | 2018 |
| Decision rules for information discovery in multi-stage stochastic programming P Vayanos, D Kuhn, B Rustem 2011 50th IEEE Conference on Decision and Control and European Control …, 2011 | 97 | 2011 |
| Designing Fair, Efficient, and Interpretable Policies for Prioritizing Homeless Youth for Housing Resources MJ Azizi, P Vayanos, B Wilder, E Rice, M Tambe CPAIOR 2018, 2018 | 63 | 2018 |
| Exploring algorithmic fairness in robust graph covering problems A Rahmattalabi, P Vayanos, A Fulginiti, E Rice, B Wilder, A Yadav, ... Advances in neural information processing systems 32, 2019 | 61 | 2019 |
| Strong optimal classification trees S Aghaei, A Gómez, P Vayanos Operations Research, 2024 | 60 | 2024 |
| Collaborative adaptive learning using hybrid filters D Mandic, P Vayanos, C Boukis, B Jelfs, SL Goh, T Gautama, T Rutkowski 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 58 | 2007 |
| Fair influence maximization: A welfare optimization approach A Rahmattalabi, S Jabbari, H Lakkaraju, P Vayanos, M Izenberg, R Brown, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11630 …, 2021 | 57 | 2021 |
| A constraint sampling approach for multi-stage robust optimization P Vayanos, D Kuhn, B Rustem Automatica 48 (3), 459-471, 2012 | 56 | 2012 |
| Data-driven learning in dynamic pricing using adaptive optimization D Bertsimas, P Vayanos | 49* | |
| Robust multiclass queuing theory for wait time estimation in resource allocation systems C Bandi, N Trichakis, P Vayanos Management Science 65 (1), 152-187, 2019 | 39 | 2019 |
| Street-level realities of data practices in homeless services provision N Karusala, J Wilson, P Vayanos, E Rice Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-23, 2019 | 37 | 2019 |
| 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 | 37 | 2018 |
| Learning optimal classification trees: Strong max-flow formulations S Aghaei, A Gomez, P Vayanos arXiv preprint arXiv:2002.09142, 2020 | 34 | 2020 |
| Chance-constrained optimization for refinery blend planning under uncertainty Y Yang, P Vayanos, PI Barton Industrial & Engineering Chemistry Research 56 (42), 12139-12150, 2017 | 34 | 2017 |
| Partially generative neural networks for gang crime classification with partial information S Seo, H Chan, PJ Brantingham, J Leap, P Vayanos, M Tambe, Y Liu Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 257-263, 2018 | 31 | 2018 |
| Cyber camouflage games for strategic deception O Thakoor, M Tambe, P Vayanos, H Xu, C Kiekintveld, F Fang Decision and Game Theory for Security: 10th International Conference …, 2019 | 28 | 2019 |
| Learning about Cyber Deception through Simulations: Predictions of Human Decision Making with Deceptive Signals in Stackelberg Security Games. EA Cranford, C Lebiere, C Gonzalez, S Cooney, P Vayanos, M Tambe CogSci, 2018 | 28 | 2018 |
| Robust optimization with decision-dependent information discovery P Vayanos, A Georghiou, H Yu arXiv preprint arXiv:2004.08490, 2020 | 27 | 2020 |
| Evidence from the past: AI decision aids to improve housing systems for homeless youth H Chan, E Rice, P Vayanos, M Tambe, M Morton 2017 AAAI Fall Symposium Series, 2017 | 26 | 2017 |
Milind TambeProfessor & Director CRCS Center @Harvard; Director "AI for Social Good" @Google ResearchVerified email at harvard.edu
