Model reduction of irreducible Markov chains. - Georgios Kotsalis; Munther A. Dahleh (CDC, 2003)

Model reduction of discrete-time Markov jump linear systems. - Georgios Kotsalis; Alexandre Megretski; Munther A. Dahleh (ACC, 2006)

A Model Reduction Algorithm for Hidden Markov Models. - Georgios Kotsalis; Alexandre Megretski; Munther A. Dahleh (CDC, 2006)

Balanced truncation for a general class of discrete-time Markov Jump linear systems. - Georgios Kotsalis; Anders Rantzer (ACC, 2008)

Balanced Truncation for a Class of Stochastic Jump Linear Systems and Model Reduction for Hidden Markov Models. - Georgios Kotsalis; Alexandre Megretski; Munther A. Dahleh (IEEE Trans. Autom. Control., 2008)

Multivariable Optimization-Based Model Reduction. - Aivar Sootla; Anders Rantzer; Georgios Kotsalis (IEEE Trans. Autom. Control., 2009)

Robust synthesis in mechanism design. - Georgios Kotsalis; Jeff S. Shamma (CDC, 2010)

Balanced Truncation for Discrete Time Markov Jump Linear Systems. - Georgios Kotsalis; Anders Rantzer (IEEE Trans. Autom. Control., 2010)

A counterexample to aggregation based model reduction of Hidden Markov Models. - Georgios Kotsalis; Jeff S. Shamma (CDC/ECC, 2011)

A fundamental limitation to the reduction of Markov chains via aggregation. - Georgios Kotsalis; Jeff S. Shamma (Allerton Conference, 2012)

Fragility and robust design of optimal auctions. - Georgios Kotsalis; Jeff S. Shamma (Allerton, 2013)

Dynamic mechanism design in correlated environments. - Georgios Kotsalis; Jeff S. Shamma (CDC, 2013)

Cyber-Attack Forecast Modeling and Complexity Reduction Using a Game-Theoretic Framework. - Malachi Jones; Georgios Kotsalis; Jeff S. Shamma (CPSW@CISS, 2013)

Limits of performance for the model reduction problem of hidden Markov models. - Georgios Kotsalis; Jeff S. Shamma (CDC, 2015)

Nash and Correlated Equilibria for Pursuit-Evasion Games Under Lack of Common Knowledge. - Daniel T. Larsson; Georgios Kotsalis; Panagiotis Tsiotras (CDC, 2018)

Convex Optimization for Finite-Horizon Robust Covariance Control of Linear Stochastic Systems. - Georgios Kotsalis; Guanghui Lan; Arkadi S. Nemirovsky (SIAM J. Control. Optim., 2021)

Simple and Optimal Methods for Stochastic Variational Inequalities, II: Markovian Noise and Policy Evaluation in Reinforcement Learning. - Georgios Kotsalis; Guanghui Lan; Tianjiao Li (SIAM J. Optim., 2022)

Tractable approximations and algorithmic aspects of optimization under uncertainty. - Georgios Kotsalis (2022)

Tight computationally efficient approximation of matrix norms with applications. - Anatoli B. Juditsky; Georgios Kotsalis; Arkadi Nemirovski (Open J. Math. Optim., 2022)

Simple and Optimal Methods for Stochastic Variational Inequalities, I: Operator Extrapolation. - Georgios Kotsalis; Guanghui Lan; Tianjiao Li (SIAM J. Optim., 2022)

A Model-Free First-Order Method for Linear Quadratic Regulator with ( boldsymbol{ tilde {O}(1/ varepsilon )} ) Sampling Complexity. - Caleb Ju; Georgios Kotsalis; Guanghui Lan (SIAM J. Control. Optim., 2025)