Simple and Optimal Methods for Stochastic Variational Inequalities, I: Operator Extrapolation von Kotsalis, Georgios, Lan, Guanghui, Li, Tianjiao

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Simple and Optimal Methods for Stochastic Variational Inequalities, II: Markovian Noise and Policy Evaluation in Reinforcement Learning von Kotsalis, Georgios, Lan, Guanghui, Li, Tianjiao

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Convex Optimization for Finite-Horizon Robust Covariance Control of Linear Stochastic Systems von Kotsalis, Georgios, Lan, Guanghui, Nemirovski, Arkadi S.

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Backwash sequence optimization of a pilot-scale ultrafiltration membrane system using data-driven modeling for parameter forecasting von Zhang, Bopeng, Kotsalis, Georgios, Khan, Jahanzeb, Xiong, Zhaoyang, Igou, Thomas, Lan, Guanghui, Chen, Yongsheng

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Balanced Truncation for Discrete Time Markov Jump Linear Systems von Kotsalis, Georgios, Rantzer, Anders

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Tight computationally efficient approximation of matrix norms with applications von Juditsky, Anatoli, Kotsalis, Georgios, Nemirovski, Arkadi

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Lignin valorization process control under feedstock uncertainty through a dynamic stochastic programming approach von Bao, Hanxi, Zhou, Zhiqiang, Kotsalis, Georgios, Lan, Guanghui, Tong, Zhaohui

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Lignin valorization process control under feedstock uncertainty through a dynamic stochastic programming approach von Bao, Hanxi, Zhou, Zhiqiang, Kotsalis, Georgios, Lan, Guanghui, Tong, Zhaohui

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Balanced Truncation for a Class of Stochastic Jump Linear Systems and Model Reduction for Hidden Markov Models von Kotsalis, G., Megretski, A., Dahleh, M.A.

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Multivariable Optimization-Based Model Reduction von Sootla, A., Rantzer, A., Kotsalis, G.

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A model-free first-order method for linear quadratic regulator with $\tilde{O}(1/\varepsilon)$ sampling complexity von Ju, Caleb, Kotsalis, Georgios, Lan, Guanghui

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Tight Computationally Efficient Approximation of Matrix Norms with Applications von Juditsky, Anatoli, Kotsalis, Georgios, Nemirovski, Arkadi

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Robust affine control of linear stochastic systems von Kotsalis, Georgios, Lan, Guanghui

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Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning von Kotsalis, Georgios, Lan, Guanghui, Li, Tianjiao

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Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation von Kotsalis, Georgios, Lan, Guanghui, Li, Tianjiao

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A model-free first-order method for linear quadratic regulator with \(\tilde{O}(1/\varepsilon)\) sampling complexity von Ju, Caleb, Kotsalis, Georgios, Lan, Guanghui

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Convex optimization for finite horizon robust covariance control of linear stochastic systems von Kotsalis, Georgios, Lan, Guanghui, Nemirovski, Arkadi

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Simple and optimal methods for stochastic variational inequalities, I: operator extrapolation von Kotsalis, Georgios, Lan, Guanghui, Li, Tianjiao

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Tight Computationally Efficient Approximation of Matrix Norms with Applications von Juditsky, Anatoli, Kotsalis, Georgios, Nemirovski, Arkadi

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Simple and optimal methods for stochastic variational inequalities, II: Markovian noise and policy evaluation in reinforcement learning von Kotsalis, Georgios, Lan, Guanghui, Li, Tianjiao

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