Phebe Vayanos
Phebe Vayanos
Associate Director at USC CAIS, Assistant Professor at University of Southern California
Verified email at usc.edu - Homepage
Title
Cited by
Cited by
Year
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
692011
Deceiving cyber adversaries: A game theoretic approach
A Schlenker, O Thakoor, H Xu, M Tambe, P Vayanos, F Fang, ...
International Conference on Autonomous Agents and Multiagent Systems, 2018
662018
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
532007
A constraint sampling approach for multi-stage robust optimization
P Vayanos, D Kuhn, B Rustem
Automatica 48 (3), 459-471, 2012
482012
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
472019
Data-driven learning in dynamic pricing using adaptive optimization
D Bertsimas, P Vayanos
40*
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
232018
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 (1), 105-115, 2010
222010
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
212018
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
142019
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
142018
Chance-constrained optimization for refinery blend planning under uncertainty
Y Yang, P Vayanos, PI Barton
Industrial & Engineering Chemistry Research 56 (42), 12139-12150, 2017
142017
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
132018
Exploring algorithmic fairness in robust graph covering problems
A Rahmattalabi, P Vayanos, A Fulginiti, E Rice, B Wilder, A Yadav, ...
arXiv preprint arXiv:2006.06865, 2020
122020
Cyber camouflage games for strategic deception
O Thakoor, M Tambe, P Vayanos, H Xu, C Kiekintveld, F Fang
International Conference on Decision and Game Theory for Security, 525-541, 2019
102019
Evidence From the Past: AI Decision Aids to Improve Housing Systems for Homeless Youth.
H Chan, E Rice, P Vayanos, M Tambe, M Morton
AAAI Fall Symposia, 149-157, 2017
102017
Staying Ahead of the Game: Adaptive Robust Optimization for Dynamic Allocation of Threat Screening Resources.
SM McCarthy, P Vayanos, M Tambe
IJCAI, 3770-3776, 2017
102017
Online tracking of the degree of nonlinearity within complex signals
DP Mandic, P Vayanos, S Javidi, B Jelfs, K Aihara
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
102008
Hedging electricity swing options in incomplete markets
P Vayanos, W Wiesemann, D Kuhn
IFAC Proceedings Volumes 44 (1), 846-853, 2011
92011
Learning optimal classification trees: Strong max-flow formulations
S Aghaei, A Gomez, P Vayanos
arXiv preprint arXiv:2002.09142, 2020
82020
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