LEGAL MUMBO JUMBO

Any software on this page is distributed “as is” under the GNU general license. In short: use at will, let me know if you want to modify the source code, don’t sue me if your computer explodes :-)

Copyrights of the papers on this page belong to the publishers. This means that publishing houses get to overcharge research institutions and universities for access to their employees’ research (which was carried out, reviewed and edited with no cost to the publishers), but they are gracious enough to allow authors to keep a preprint for personal use...

You can also visit my author pages on arXiv, RG and HAL, or find a list of publications organized by topic here. If you’re wondering about the numbering scheme below, “W” is for working/submitted papers, “J” is for journals, “C” for international conference proceedings, and “S” for software.

Software

[S1] GameSeer: Mathematica package for numerical integration and visualization of game dynamics. Currently in beta, more features (and a Java applet version) coming “soon”. The link above is a zipped archive that contains a user manual.

Working / Submitted papers

[W9] “Forward-backward-forward methods with variance reduction for stochastic variational inequalities,” with R. I. Bot, M. Staudigl and P. T. Vuong, submitted. Arxived at https://arxiv.org/abs/1902.03355.

[W8] “Multi-agent online learning with imperfect information,” with Z. Zhou, N. Bambos, P. W. Glynn, and C. Tomlin, submitted. George Nicholson award runner-up.

[W7] “Learning in time-varying games,” with B. Duvocelle, M. Staudigl, and D. Vermeulen, submitted. ArXived at https://arxiv.org/abs/1809.03066.

[W6] “Distributed stochastic optimization with large delays,” with Z. Zhou, N. Bambos, P. W. Glynn, and Y. Ye, submitted.

[W5] “Online convex optimization and no-regret learning: Algorithms, guarantees and applications,” with E. V. Belmega, R. Negrel, and L. Sanguinetti, submitted. ArXived at https://arxiv.org/abs/1804.04529.

[W4] “Robust power management via learning and game design,” with Z. Zhou, A. L. Moustakas, N. Bambos and P. W. Glynn, submitted.

[W3] “Mirror descent in non-convex stochastic programming,” with Z. Zhou, N. Bambos, S. Boyd and P. W. Glynn, submitted. ArXived at https://arxiv.org/abs/1706.05681.

[W2] “Boltzmann meets Nash: Energy-efficient routing in optical networks under uncertainty,” with A. L. Moustakas and A. Tzanakaki, working paper. ArXived at https://arxiv.org/abs/1605.01451.

[W1] “Power control via online learning in non-stationary MIMO networks,” with I. Stiakogiannakis and C. Touati, working paper. ArXived at http://arxiv.org/abs/1503.02155.

Forthcoming

[J30] “When is selfish routing bad? The price of anarchy in light and heavy traffic,” with R. Colini-Baldeschi, R. Cominetti, and M. Scarsini. Operations Research, forthcoming.

[J29] “Hessian barrier algorithms for linearly constrained optimization problems,” with I. M. Bomze, W. Schachinger and M. Staudigl. SIAM Journal on Optimization, forthcoming.

[J28] “Online power optimization in feedback-limited, dynamic and unpredictable IoT networks,” with A. Marcastel, E. V. Belmega, and I. Fijalkow. IEEE Transactions on Signal Processing, forthcoming.

[C48] “Convergent noisy forward-backward-forward algorithms in non-monotone variational inequalities,” with M. Staudigl. In LSS ’19: Proceedings of the 15th IFAC Symposium on Large Scale Complex Systems, 2019.

[C47] “Gradient-free online resource allocation algorithms for dynamic wireless networks,” with A. Marcastel, E. V. Belmega, and I. Fijalkow. In SPAWC ’19: Proceedings of the 2019 IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019.

[C46] “Cautious regret minimization: Online optimization with long-term budget constraints,” with N. Liakopoulos, A. Destounis, G. Paschos, and A. Spyropoulos. In ICML ’19: Proceedings of the 36th International Conference on Machine Learning, 2019.

[C45] “Load-aware provisioning of IoT services on fog computing platform,” with I. Fajjari, B. Donassolo, and A. Legrand. In ICC ’19: Proceedings of the 2019 IEEE International Conference on Communications, 2019.

2019

[J27] “Learning in games with continuous action spaces and unknown payoff functions,” with Z. Zhou. Mathematical Programming, ser. A, vol. 173, no. 1-2, pp. 465-507, January 2019. ArXived at http://arxiv.org/abs/1608.07310.

[C44] “Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile,” with H. Zenati, B. Lecouat, C.-S. Foo, V. Chandrasekhar, and G. Piliouras. In ICLR ’19: Proceedings of the 2019 International Conference on Learning Representations, 2019.

[C43] “Large-scale network utility maximization: Countering exponential growth with exponentiated gradients,” with L. Vigneri and G. Paschos. In INFOCOM ’19: Proceedings of the 38th IEEE International Conference on Computer Communications, 2019.

[C42] “A fog-based framework for IoT service provisioning,” with B. Donassolo, I. Fajjari, and A. Legrand. In CCNC ’19: Proceedings of the 16th IEEE International Conference on Consumer Communications & Networking, 2019.

2018

[J26] “Stochastic mirror descent dynamics and their convergence in monotone variational inequalities,” with M. Staudigl. Journal of Optimization Theory and Applications, vol. 179, no. 3, pp 838-867, December 2018. ArXived at https://arxiv.org/abs/1710.01551.

[J25] “Riemannian game dynamics,” with W. H. Sandholm. Journal of Economic Theory, vol. 177, pp. 315-364, September 2018. ArXived at http://arxiv.org/abs/1603.09173.

[J24] “On the convergence of gradient-like flows with noisy gradient input,” with M. Staudigl. SIAM Journal on Optimization, vol. 28, no. 1, pp. 163-197, January 2018. ArXived at https://arxiv.org/abs/1611.06730.

[C41] “Bandit learning in concave N-person games,” with M. Bravo and D. S. Leslie. In NIPS ’18: Proceedings of the 32nd International Conference on Neural Information Processing Systems, 2018.

[C40] “Learning in games with lossy feedback,” with Z. Zhou, S. Athey, N. Bambos, P. W. Glynn, and Y. Ye. In NIPS ’18: Proceedings of the 32nd International Conference on Neural Information Processing Systems, 2018.

[C39] “On the convergence of stochastic forward-backward-forward algorithms with variance reduction in pseudo-monotone variational inequalities,” with M. Staudigl, R. I. Bot, and P. T. Vuong. In NIPS’ 18: Workshop on Smooth Games, Optimization and Machine Learning (SGO&ML).

[C38] “Power control with random delays: Robust feedback averaging,” with A. Ward, Z. Zhou, and N. Bambos. In CDC '18: Proceedings of the 57th IEEE Annual Conference on Decision and Control, 2018.

[C37] “Distributed asynchronous optimization with unbounded delays: How slow can you go?,” with Z. Zhou, N. Bambos, P. W. Glynn, Y. Ye, J. Li, and F.-F. Li. In ICML ’18: Proceedings of the 35th International Conference on Machine Learning, 2018.

[C36] “A resource allocation framework for network slicing,” with M. Leconte, G. Paschos, and U. Kozat. In INFOCOM ’18: Proceedings of the 37th IEEE International Conference on Computer Communications, 2018.

[C35] “Cycles in adversarial regularized learning,” with C. Papadimitriou and G. Piliouras. In SODA ’18: Proceedings of the 29th annual ACM-SIAM Symposium on Discrete Algorithms, 2018. ArXived at: https://arxiv.org/abs/1709.02738.

2017

[J23] “On the robustness of learning in games with stochastically perturbed payoff observations,” with M. Bravo. Games and Economic Behavior, John Nash Memorial Special Issue, vol. 103, pp. 41-66, May 2017. ArXived at http://arxiv.org/abs/1412.6565.

[J22] “Distributed stochastic optimization via matrix exponential learning,” with E. V. Belmega, R. Negrel and L. Sanguinetti. IEEE Transactions on Signal Processing, vol. 65, no. 9, pp. 2277-2290, May 2017. ArXived at http://arxiv.org/abs/1606.01190.

[J21] “A continuous-time approach to online optimization,” with J. Kwon. Journal of Dynamics and Games, vol. 4, no. 2, pp. 125-148, April 2017. ArXived at http://arxiv.org/abs/1401.6956.

[J20] “Semi-cognitive radio networks: A novel dynamic spectrum sharing mechanism,” with A. S. Shafigh, S. Glisic, and Y. M. Fang. IEEE Transactions on Cognitive Communications and Networking, vol. 3, no. 1, pp. 97-111, March 2017.

[J19] “Auction-based resource allocation in OpenFlow multi-tenant networks,” with Salvatore D’Oro, Laura Galluccio, Giacomo Morabito, and Sergio Palazzo. Computer Networks, vol. 115, pp. 29-41, March 2017.

[J18] “Mixed-strategy learning with continuous action sets,” with S. Perkins and D. S. Leslie. IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 379-384, January 2017. ArXived at http://arxiv.org/abs/1412.0543.

[C34] “The asymptotic behavior of the price of anarchy,” with R. Colini-Baldeschi, R. Cominetti, and M. Scarsini. In WINE ‘17: Proceedings of the 13th Conference on Web and Internet Economics, 2017.

[C33] “Countering feedback delays in multi-agent learning,” with Z. Zhou, N. Bambos, P. W. Glynn and C. Tomlin. In NIPS ’17: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017.

[C32] “Stochastic mirror descent in variationally coherent optimization problems,” with Z. Zhou, N. Bambos, S. Boyd, and P. W. Glynn. In NIPS ’17: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017.

[C31] “Learning with bandit feedback in potential games,” with J. Cohen and A. Héliou. In NIPS ’17: Proceedings of the 31st International Conference on Neural Information Processing Systems, 2017.

[C30] “Least action routing: Identifying the optimal path in a wireless relay network,” with A. L. Moustakas, Z. Zhou and N. Bambos. In PIMRC '17: Proceedings of the 28th annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2017.

[C29] “Power control in wireless networks via dual averaging,” with Z. Zhou, A. L. Moustakas, S. Mehdian, N. Bambos and P. W. Glynn. In GLOBECOM '17: Proceedings of the 2017 IEEE Global Telecommunications Conference, 2017.

[C28] “Mirror descent learning in continuous games,” with Z. Zhou, A. L. Moustakas, N. Bambos and P. W. Glynn. In CDC '17: Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017.

[C27] “Convergence to Nash equilibrium in continuous games with noisy first-order feedback,” with M. Staudigl. In CDC '17: Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017.

[C26] “Hedging under uncertainty: regret minimization meets exponentially fast convergence,” with J. Cohen and A. Héliou. In SAGT '17: Proceedings of the 10th International Symposium on Algorithmic Game Theory, 2017. ArXived at http://arxiv.org/abs/1607.08863.

2016

[J17] “Learning in games via reinforcement and regularization,” with W. H. Sandholm. Mathematics of Operations Research, vol. 41, no. 4, pp. 1297–1324, November 2016. ArXived at http://arxiv.org/abs/1407.6267.

[J16] “Power optimization in random wireless networks,” with A. L. Moustakas and N. Bambos. IEEE Transactions on Information Theory, vol. 62, no. 9, pp. 5030-5058, September 2016. ArXived at http://arxiv.org/abs/1202.6348.

[J15] “A stochastic approximation algorithm for stochastic semidefinite programming,” with B. Gaujal. Probability in the Engineering and Informational Sciences, vol. 30, no. 3, pp. 431–454, July 2016. ArXived at http://arxiv.org/abs/1507.01859.

[J14] “Learning to be green: Robust energy efficiency maximization in dynamic MIMO-OFDM systems,” with E. V. Belmega. IEEE Journal on Selected Areas in Communications, vol. 34, no. 4, pp. 743 - 757, March 2016. ArXived at http://arxiv.org/abs/1504.03903.

[J13] “Imitation dynamics with payoff shocks,” with Y. Viossat. International Journal of Game Theory, vol. 45, no. 1, pp. 291–320, March 2016. ArXived at http://arxiv.org/abs/1412.7842.

[J12] “Learning in an uncertain world: MIMO covariance matrix optimization with imperfect feedback,” with A. L. Moustakas. IEEE Transactions on Signal Processing, vol. 64, no. 1, pp. 5–18, January 2016. Arxived at http://arxiv.org/abs/1502.01653.

[C25] “Interference mitigation via pricing in time-varying cognitive radio systems”, with A. Marcastel, E. V. Belmega, and I. Fijalkow. In NetGCoop ’16: Proceedings of the 6th International Conference on Network Games, Control and Optimization, 2016.

[C24] “Distributed learning for resource allocation under uncertainty”, with E. V. Belmega, and L. Sanguinetti. In GLOBALSIP ’16: Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016.

[C23] “Online interference mitigation via learning in dynamic IoT environments”, with A. Marcastel, E. V. Belmega, and I. Fijalkow. In GLOBECOM ’16: Proceedings of the 2016 IEEE Global Telecommunications Conference, 2016.

[C22] “Online power allocation for opportunistic radio access in dynamic OFDM networks”, with A. Marcastel, E. V. Belmega, and I. Fijalkow. In VTC ‘16-Fall: Proceedings of the IEEE 84th Vehicular Technology Conference, 2016.

[C21] “A novel dynamic network architecture model based on stochastic geometry and game theory”, with A. S. Shafigh and S. Glisic. In ICC ’16: Proceedings of the 2016 IEEE International Conference on Communications, 2016.

2015

[J11] “Inertial game dynamics and applications to constrained optimization,” with R. Laraki. SIAM Journal on Control and Optimization, vol. 53, no. 5, pp. 3141–3170, October 2015. ArXived at http://arxiv.org/abs/1305.0967.

[J10] “Interference-based pricing for opportunistic multi-carrier cognitive radio systems,” with S. D’Oro, A. L. Moustakas, and S. Palazzo. IEEE Transactions on Wireless Communications, vol. 14, no. 12, pp. 6536–6549, December 2015. ArXived at http://arxiv.org/abs/1502.00588.

[J9] “Energy-aware competitive power allocation for heterogeneous networks under QoS constraints,” with G. Bacci, E. V. Belmega, and L. Sanguinetti. IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp. 4728–4742, September 2015. ArXived at http://arxiv.org/abs/1408.7004.

[J8] “Penalty-regulated dynamics and robust learning procedures in games,” with P. Coucheney and B. Gaujal. Mathematics of Operations Research, vol. 40, no. 3, pp. 611-633, August 2015. ArXived at http://arxiv.org/abs/1303.2270.

[C20] “Cost-Efficient Power Allocation in OFDMA Cognitive Radio Networks”, with S. D’Oro, A. L. Moustakas, and S. Palazzo. In EUCNC ’15: Proceedings of the 2015 European Conference on Networks and Communications, 2015.

[C19] “No more tears: A no-regret approach to power control in dynamically varying MIMO networks”, with I. Stiakogiannakis and C. Touati. In WiOpt ’15: Proceedings of the 13th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2015.

[C18] “Energy-efficient power allocation in dynamic multi-carrier systems”, with E. V. Belmega. In VTC ’15-Spring: Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015.

2014

[J7] “Transmit without regrets: Online optimization in MIMO–OFDM cognitive radio systems,” with E. V. Belmega. IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 1987–1999, November 2014. ArXived at: http://arxiv.org/abs/1410.2592.

[C17] “No regrets: Distributed power control under time-varying channels and QoS requirements”, with I. Stiakogiannakis and C. Touati. In Allerton ’14: Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing, 2014.

[C16] “Distributed optimization in multi-user MIMO systems with imperfect and delayed information”, with P. Coucheney and B. Gaujal. In ISIT ’14: Proceedings of the 2014 IEEE International Symposium on Information Theory, 2014.

[C15] “Adaptive transmit policies for cost-efficient power allocation in multi-carrier systems”, with S. D’Oro, A. L. Moustakas, and S. Palazzo. In WiOpt ‘14: Proceedings of the 12th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2014.

[C14] “Energy-aware competitive link adaptation in small-cell networks”, with G. Bacci, E. V. Belmega, and L. Sanguinetti. In WiOpt ‘14: Proceedings of the 12th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2014.

2013

[J6] “Higher order game dynamics,” with R. Laraki. Journal of Economic Theory, vol. 148, no. 6, pp. 2666–2695, November 2013. ArXived at http://arxiv.org/abs/1206.4181.

[C13] “Adaptive spectrum management in MIMO-OFDM cognitive radio: An exponential learning approach”, with E. V. Belmega. In ValueTools ’13: Proceedings of the 7th Int’l Conference on Performance Evaluation Methodologies and Tools, 2013.

[C12] “Entropy-driven optimization dynamics for Gaussian vector multiple access channels,” with A. L. Moustakas. In ICC ’13: Proceedings of the 2013 IEEE International Conference on Communications, 2013.

[C11] “Accelerating population-based search heuristics by adaptive resource allocation,” with J. Lepping and D. Trystram. In GECCO ’13: Proceedings of the 15th ACM Annual Conference on Genetic and Evolutionary Computation, 2013.

[C10] “Riemannian-geometric optimization methods for MIMO multiple access channels,” with A. L. Moustakas. In ISIT ’13: Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013.

2012

[J5] “Distributed learning policies for power allocation in multiple access channels,” with E. V. Belmega, A. L. Moustakas, and S. Lasaulce. IEEE Journal on Selected Areas in Communications, vol. 30, pp. 96–106, January 2012. ArXived at http://arxiv.org/abs/1103.3541.

[C9] “Strange bedfellows: Riemann, Gibbs and vector Gaussian multiple access channels”. In NetGCoop ’12: Proceedings of the 6th International Conference on Network Games, Control and Optimization, 2012. Best paper award.

[C8] “Matrix exponential learning: Distributed optimization in MIMO systems,” with E. V. Belmega and A. L. Moustakas. In ISIT ’12: Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012.

2011

[J4] “Neutral stability, drift, and the diversification of languages,” with C. Pawlowitsch and N. Ritt. Journal of Theoretical Biology, vol. 287, pp. 1–12, July 2011.

[J3] “Living at the edge: A large deviations approach to the outage MIMO capacity,” with P. Kazakopoulos, A. L. Moustakas, and G. Caire. IEEE Transactions on Information Theory, vol. 57, pp. 1984–2007, April 2011. ArXived at http://arxiv.org/abs/0907.5024.

[C7] “Selfish routing revisited: Degeneracy, evolution and stochastic fluctuations,” with A. L. Moustakas. In ValueTools ’11: Proceedings of the 5th Int’l Conference on Performance Evaluation Methodologies and Tools, 2011. Best paper runner-up.

[C6] “Dynamic power allocation games in parallel multiple access channels,” with A. L. Moustakas. In ValueTools ’11: Proceedings of the 5th Int’l Conference on Performance Evaluation Methodologies and Tools, 2011. Best paper runner-up.

2010 and before

[J2] “The emergence of rational behavior in the presence of stochastic perturbations,” with A. L. Moustakas. Annals of Applied Probability, vol. 20, no. 4, pp. 1359–1388, 2010. ArXived at http://arxiv.org/abs/0906.2094.

[J1] “Correlated anarchy in overlapping wireless networks,” with A. L. Moustakas. IEEE Journal on Selected Areas in Communications, vol. 26, pp. 1160–1169, September 2008. ArXived at http://arxiv.org/abs/0805.0963.

[C5] “Distribution of MIMO mutual information: a large deviations approach,” with P. Kazakopoulos, A. L. Moustakas, and G. Caire. In ITW ’09: Proceedings of the 2009 IEEE Information Theory Workshop, 2009.

[C4] “Learning in the presence of noise,” with A. L. Moustakas, in GameNets ’09: Proceedings of the 1st International Conference on Game Theory for Networks, 2009.

[C3] “Vertical handover between wireless standards,” with N. Dimitriou and A. L. Moustakas. In ICC ’08: Proceedings of the 2008 IEEE International Conference on Communications, 2008.

[C2] “Vertical handover between wireless service providers,” with N. Dimitriou and A. L. Moustakas. In WiOpt ’08: 6th Int’l Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, 2008.

[C1] “The simplex game: Can selfish users learn to operate efficiently in wireless networks?,” with A. L. Moustakas. In ValueTools ’07: Proceedings of the 2nd Int’l Conference on Performance Evaluation Methodologies and Tools, 2007.

Theses

[T2] "Stochastic perturbations in game theory and applications to networks", Ph.D. dissertation, University of Athens. (Also available in greek)

[T1] “Gauss’s law and residue calculus in the framework of de Rham cohomology”, major thesis, University of Athens.