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Georgios Kotsalis
Georgios Kotsalis
Applied Scientist at Amazon Core AI
Verified email at amazon.com
Title
Cited by
Cited by
Year
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
372008
Balanced truncation for discrete time Markov jump linear systems
G Kotsalis, A Rantzer
IEEE Transactions on Automatic Control 55 (11), 2606-2611, 2010
362010
Simple and optimal methods for stochastic variational inequalities, ii: Markovian noise and policy evaluation in reinforcement learning
G Kotsalis, G Lan, T Li
arXiv preprint arXiv:2011.08434, 2020
35*2020
Multivariable optimization-based model reduction
A Sootla, A Rantzer, G Kotsalis
IEEE Transactions on Automatic Control 54 (10), 2477-2480, 2009
152009
Model reduction of discrete-time Markov jump linear systems
G Kotsalis, A Megretski, MA Dahleh
2006 American Control Conference, 6 pp., 2006
152006
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
142021
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
142006
Model reduction of irreducible Markov chains
G Kotsalis, M Dahleh
42nd IEEE International Conference on Decision and Control (IEEE Cat. No …, 2003
122003
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
102013
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
92020
Model reduction for hidden Markov models
G Kotsalis
Massachusetts Institute of Technology, 2006
72006
Robust synthesis in mechanism design
G Kotsalis, JS Shamma
49th IEEE Conference on Decision and Control (CDC), 225-230, 2010
62010
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
52018
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
42011
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
32019
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
32012
Tractable approximations and algorithmic aspects of optimization under uncertainty
G Kotsalis
Georgia Institute of Technology, 2022
12022
Tight Computationally Efficient Approximation of Matrix Norms with Applications
A Juditsky, G Kotsalis, A Nemirovski
arXiv preprint arXiv:2110.04389, 2021
12021
Limits of performance for the model reduction problem of Hidden Markov Models
G Kotsalis, JS Shamma
2015 54th IEEE Conference on Decision and Control (CDC), 4674-4679, 2015
12015
Dynamic mechanism design in correlated environments
G Kotsalis, JS Shamma
52nd IEEE Conference on Decision and Control, 1848-1853, 2013
12013
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