Phebe Vayanos
Phebe Vayanos
Associate Director at CAIS, Assistant Professor at University of Southern California
Verified email at - Homepage
Cited by
Cited by
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
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
A constraint sampling approach for multi-stage robust optimization
P Vayanos, D Kuhn, B Rustem
Automatica 48 (3), 459-471, 2012
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
Data-driven learning in dynamic pricing using adaptive optimization
D Bertsimas, P Vayanos
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
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, 1418-1426, 2019
Strategic coordination of human patrollers and mobile sensors with signaling for security games
H Xu, K Wang, P Vayanos, M Tambe
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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
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
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
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
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
Chance-constrained optimization for refinery blend planning under uncertainty
Y Yang, P Vayanos, PI Barton
Industrial & Engineering Chemistry Research 56 (42), 12139-12150, 2017
Online detection of the modality of complex-valued real world signals
DP Mandic, P Vayanos, M Chen, SL Goh
International Journal of Neural Systems 18 (02), 67-74, 2008
An online method for detecting nonlinearity within a signal
B Jelfs, P Vayanos, M Chen, SL Goh, C Boukis, T Gautama, T Rutkowski, ...
International Conference on Knowledge-Based and Intelligent Information and …, 2006
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
Online detection of the nature of complex-valued signals
P Vayanos, SL Goh, DP Mandic
2006 16th IEEE Signal Processing Society Workshop on Machine Learning for …, 2006
A robust optimization approach to designing near-optimal strategies for constant-sum monitoring games
A Rahmattalabi, P Vayanos, M Tambe
International Conference on Decision and Game Theory for Security, 603-622, 2018
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
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