Georgios Kotsalis

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Guanghui (George) LanProfessor, Georgia Institute of TechnologyDirección de correo verificada de isye.gatech.edu
Munther DahlehMITDirección de correo verificada de mit.edu
Jeff S. ShammaDepartment Head, Industrial and Systems Engineering, University of Illinois at Urbana ChampaignDirección de correo verificada de illinois.edu
Anders RantzerProfessor, Lund UniversityDirección de correo verificada de control.lth.se
Alexandre MegretskiProfessor of Electrical Engineering, MITDirección de correo verificada de mit.edu
Arkadi NemirovskiProfessor and Jh. Hunter Academic Chair, School of Industrial and Systems Engineering, GeorgiaDirección de correo verificada de isye.gatech.edu
Aivar Sootlaresearch associateDirección de correo verificada de eng.ox.ac.uk
Bopeng ZhangGeorgia Institute of TechnologyDirección de correo verificada de gatech.edu
Yongsheng ChenProfessor of Civil and Environmental Engineering, Georgia Institute of TechnologyDirección de correo verificada de ce.gatech.edu
Anatoli JuditskyProfessor at Université Grenoble-AlpesDirección de correo verificada de univ-grenoble-alpes.fr
Zhaohui TongAssociate Professor, Georgia Institute of TechnologyDirección de correo verificada de chbe.gatech.edu

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Georgios Kotsalis

Applied Scientist at Amazon Core AI

Dirección de correo verificada de amazon.com

Optimization Machine Learning Control Theory Game Theory


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation G Kotsalis, G Lan, T Li SIAM Journal on Optimization 32 (3), 2041-2073, 2022	68*	2022
Balanced truncation for a class of stochastic jump linear systems and model reduction for hidden Markov models G Kotsalis, A Megretski, MA Dahleh IEEE Transactions on Automatic Control 53 (11), 2543-2557, 2008	40	2008
Balanced truncation for discrete time Markov jump linear systems G Kotsalis, A Rantzer IEEE Transactions on Automatic Control 55 (11), 2606-2611, 2010	39	2010
Backwash sequence optimization of a pilot-scale ultrafiltration membrane system using data-driven modeling for parameter forecasting B Zhang, G Kotsalis, J Khan, Z Xiong, T Igou, G Lan, Y Chen Journal of membrane science 612, 118464, 2020	27	2020
Convex optimization for finite-horizon robust covariance control of linear stochastic systems G Kotsalis, G Lan, AS Nemirovski SIAM Journal on Control and Optimization 59 (1), 296-319, 2021	17	2021
Multivariable optimization-based model reduction A Sootla, A Rantzer, G Kotsalis IEEE Transactions on Automatic Control 54 (10), 2477-2480, 2009	16	2009
Model reduction of discrete-time Markov jump linear systems G Kotsalis, A Megretski, MA Dahleh 2006 American Control Conference, 6 pp., 2006	15	2006
Cyber-attack forecast modeling and complexity reduction using a game-theoretic framework M Jones, G Kotsalis, JS Shamma Control of Cyber-Physical Systems: Workshop held at Johns Hopkins University …, 2013	13	2013
A model reduction algorithm for hidden Markov models G Kotsalis, A Megretski, MA Dahleh Proceedings of the 45th IEEE Conference on Decision and Control, 3424-3429, 2006	13	2006
Model reduction of irreducible Markov chains G Kotsalis, M Dahleh 42nd IEEE International Conference on Decision and Control (IEEE Cat. No …, 2003	12	2003
Robust synthesis in mechanism design G Kotsalis, JS Shamma 49th IEEE Conference on Decision and Control (CDC), 225-230, 2010	8	2010
Model reduction for hidden Markov models G Kotsalis Massachusetts Institute of Technology, 2006	7	2006
Nash and correlated equilibria for pursuit-evasion games under lack of common knowledge DT Larsson, G Kotsalis, P Tsiotras 2018 IEEE Conference on Decision and Control (CDC), 3579-3584, 2018	5	2018
Lignin valorization process control under feedstock uncertainty through a dynamic stochastic programming approach H Bao, Z Zhou, G Kotsalis, G Lan, Z Tong Reaction Chemistry & Engineering 4 (10), 1740-1747, 2019	4	2019
Dynamic mechanism design in correlated environments G Kotsalis, JS Shamma 52nd IEEE Conference on Decision and Control, 1848-1853, 2013	4	2013
A counterexample to aggregation based model reduction of Hidden Markov Models G Kotsalis, JS Shamma 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	4	2011
A fundamental limitation to the reduction of Markov chains via aggregation G Kotsalis, JS Shamma 2012 50th Annual Allerton Conference on Communication, Control, and …, 2012	3	2012
A model-free first-order method for linear quadratic regulator with sampling complexity C Ju, G Kotsalis, G Lan arXiv preprint arXiv:2212.00084, 2022	1	2022
Tight computationally efficient approximation of matrix norms with applications A Juditsky, G Kotsalis, A Nemirovski Open Journal of Mathematical Optimization 3, 1-38, 2022	1	2022
Tight Computationally Efficient Approximation of Matrix Norms with Applications A Juditsky, G Kotsalis, A Nemirovski arXiv preprint arXiv:2110.04389, 2021	1	2021

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