Phebe Vayanos
Phebe Vayanos
Associate Professor at University of Southern California; Co-Director of Center for AI in Society
Verified email at - Homepage
Cited by
Cited by
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
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
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
A constraint sampling approach for multi-stage robust optimization
P Vayanos, D Kuhn, B Rustem
Automatica 48 (3), 459-471, 2012
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
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
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
Data-driven learning in dynamic pricing using adaptive optimization
D Bertsimas, P Vayanos
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
Strong optimal classification trees
S Aghaei, A Gómez, P Vayanos
arXiv preprint arXiv:2103.15965, 2021
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
Learning optimal classification trees: Strong max-flow formulations
S Aghaei, A Gomez, P Vayanos
arXiv preprint arXiv:2002.09142, 2020
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
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
Chance-constrained optimization for refinery blend planning under uncertainty
Y Yang, P Vayanos, PI Barton
Industrial & Engineering Chemistry Research 56 (42), 12139-12150, 2017
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
Characterisation of signal modality: Exploiting signal nonlinearity in machine learning and signal processing
B Jelfs, S Javidi, P Vayanos, D Mandic
Journal of Signal Processing Systems 61, 105-115, 2010
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
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
Robust optimization with decision-dependent information discovery
P Vayanos, A Georghiou, H Yu
arXiv preprint arXiv:2004.08490, 2020
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