Data-Driven Integer and Robust Optimization, and Game Theory
Designing fair, efficient, and interpretable policies for prioritizing homeless youth for housing resources
M. J. Azizi, P. Vayanos, B. Wilder, E. Rice and M. Tambe Forthcoming in Proceedings of the 15th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), 2018.
Invited to Constraints journal fast track for outstanding papers.
Deceiving cyber adversaries: a game theoretic approach
A. Schlenker, M. Tambe, L. Tran-Thanh, P. Vayanos, Y. Vorobeychik, O. Thakoor, H. Xu, and F. Fang Forthcoming in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
Equilibrium refinement in security games with arbitrary scheduling constraints
K. Wang, Q. Guo, P. Vayanos, M. Tambe, and B. An Forthcoming in Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
Strategic coordination of human patrollers and mobile sensors with signaling for security games
H. Xu, K. Wang, P. Vayanos, M. Tambe Forthcoming in Proceedings of the 32nd AAAI Conference on Artificial Intelligence, 2018.
Partially generative neural networks for gang crime classification with partial information
S. Seo, H. Chan, P. J. Brantingham, J. Leap, P. Vayanos, M. Tambe, Y. Liu Forthcoming in Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society, 2018.
Robust multiclass queuing theory for wait time estimation in resource allocation systems
C. Bandi, N. Trichakis and P. Vayanos
Forthcoming in Management Science, 2018.
Evidence from the past: AI decision aids to improve housing systems for homeless youth
H. Chan, E. Rice, P. Vayanos, M. Tambe, and M. Morton In Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI) 2017 Fall Symposium Series, 2017.
Explanations systems for influential maximizations algorithms
A. Yadav, A. Rahmattalabi, E. Kamar, P. Vayanos, M. Tambe, V. L. Noronha In Proceedings of the 3rd International Workshop on Social Influence Analysis, 2017.
Staying ahead of the game: adaptive robust optimization for dynamic allocation of threat screening resources
S.M. Mc Carthy, P. Vayanos and M. Tambe
In Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, pp. 3770-3776, 2017.
Chance-constrained optimization for reﬁnery blend planning under uncertainty
Y. Yang, P. Vayanos, and P.I. Barton
Industrial & Engineering Chemistry Research, 56 (42), pp. 12139–12150, 2017.
D. Bertsimas and P. Vayanos
Working Paper, 2017.
Data-driven learning in dynamic pricing using adaptive optimization
D. Bertsimas and P. Vayanos
Working Paper, 2017.
D. Bertsimas, J. Lehrich and P. Vayanos
In Preparation, 2016.
A constraint sampling approach for multi-stage robust optimization
P. Vayanos, D. Kuhn and B. Rustem
Automatica, 48(3):459-471, 2012.
Decision rules for information discovery in multi-stage stochastic programming
P. Vayanos, D. Kuhn, and B. Rustem
In Proceedings of the 50th IEEE Conference on Decision and Control, pp. 7368-7373, 2011.
Hedging electricity swing options in incomplete markets
P. Vayanos, W. Wiesemann, and D. Kuhn
In Proceedings of the 18th IFAC World Congress, pp.846-853, 2011.
B. Jelfs, S. Javidi, P. Vayanos, and D.P. Mandic
Journal of Signal Processing Systems, 61(1):105-115, 2009.
D.P. Mandic, P. Vayanos, M. Chen, and S.L. Goh
International Journal of Neural Systems, 18(2):67-74, 2008.
D.P. Mandic, P. Vayanos, S. Javidi, B. Jelfs, and K. Aihara
In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2061-2064, 2008.
D.P. Mandic, P. Vayanos, C. Boukis, B. Jelfs, S.L. Goh, T. Gautama, and T. Rutkowski
In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 3:921-924, 2007.
P. Vayanos, S.L. Goh, and D.P. Mandic
In Proceedings of the 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, pp. 173-178, 2006.
B. Jelfs, P. Vayanos, M. Chen, S.L. Goh, C. Boukis, T. Gautama, T.M. Rutkowski, T. Kuh, and D.P. Mandic
In Proceedings of the 10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems, 4253:1216-1223, 2006.
B. Jelfs, P. Vayanos, S. Javidi, S.L. Goh, and D.P. Mandic
Chapter in Signal Processing Techniques for Knowledge Extraction and Information Fusion, pp. 1-20. Springer, 2008.
P. Vayanos, M. Chen, B. Jelfs, and D.P. Mandic Chapter in Advances in Nonlinear Speech Processing, volume 4885 of Lecture Notes in Computer Science, pp. 57-77. Springer, 2007.
Decision rule approximations for dynamic optimization under uncertainty, Imperial College London, 2012.