Finite time analysis based on Sum of Squares Technique: Applied to the super-twisting second order sliding mode control. - Sina Sanjari; Sadjaad Ozgoli (CoRR, 2015)

Generalized Integral Siding Mode Manifold Design: A Sum of Squares Approach. - Sina Sanjari; Sadjaad Ozgoli (CoRR, 2015)

Sliding Mode Control Design: a Sum of Squares Approach. - Sina Sanjari; Sadjaad Ozgoli (CoRR, 2016)

Finite-time Stability Analysis for Random Nonlinear Systems. - Sina Sanjari; Mahdieh Tahmasebi (CoRR, 2016)

Optimal Stochastic Teams with Infinitely Many Decision Makers and Mean-Field Teams. - Sina Sanjari; Serdar Yüksel (CDC, 2018)

Convex Symmetric Stochastic Dynamic Teams and Their Mean-Field Limit. - Sina Sanjari; Serdar Yüksel (CDC, 2019)

Independently Randomized Symmetric Policies are Optimal for Exchangeable Stochastic Teams with Infinitely Many Decision Makers. - Sina Sanjari; Naci Saldi; Serdar Yüksel (CDC, 2020)

Policy-Dependent and Policy-Independent Static Reduction of Stochastic Dynamic Teams and Games and Fragility of Equivalence Properties. - Sina Sanjari; Tamer Basar; Serdar Yüksel (CDC, 2021)

Optimal Policies for Convex Symmetric Stochastic Dynamic Teams and their Mean-Field Limit. - Sina Sanjari; Serdar Yüksel (SIAM J. Control. Optim., 2021)

Optimal Solutions to Infinite-Player Stochastic Teams and Mean-Field Teams. - Sina Sanjari; Serdar Yüksel (IEEE Trans. Autom. Control., 2021)

Compressed Decentralized Learning of Conditional Mean Embedding Operators in Reproducing Kernel Hilbert Spaces. - Boya Hou; Sina Sanjari; Nathan Dahlin; Subhonmesh Bose (AAAI, 2023)

Nash Equilibria for Exchangeable Team against Team Games and their Mean Field Limit. - Sina Sanjari; Naci Saldi; Serdar Yüksel (ACC, 2023)

Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach. - Boya Hou; Sina Sanjari; Nathan Dahlin; Subhonmesh Bose; Umesh Vaidya (ICML, 2023)

Optimality of Independently Randomized Symmetric Policies for Exchangeable Stochastic Teams with Infinitely Many Decision Makers. - Sina Sanjari; Naci Saldi; Serdar Yüksel (Math. Oper. Res., 2023)

Isomorphism Properties of Optimality and Equilibrium Solutions Under Equivalent Information Structure Transformations: Stochastic Dynamic Games and Teams. - Sina Sanjari; Tamer Basar; Serdar Yüksel (SIAM J. Control. Optim., 2023)

Large Decentralized Continuous-Time Convex Stochastic Teams and Their Mean-Field Limits. - Sina Sanjari; Naci Saldi; Serdar Yüksel (ACC, 2024)

Quantum Markov Decision Processes. - Naci Saldi; Sina Sanjari; Serdar Yüksel (CDC, 2024)

Optimality of Decentralized Symmetric Policies for Stochastic Teams with Mean-Field Information Sharing. - Sina Sanjari; Naci Saldi; Serdar Yüksel (CDC, 2024)

Quantum Markov Decision Processes Part I: General Theory, Approximations, and Classes of Policies. - Naci Saldi; Sina Sanjari; Serdar Yüksel (CoRR, 2024)

Quantum Markov Decision Processes Part II: Optimal Solutions and Algorithms. - Naci Saldi; Sina Sanjari; Serdar Yüksel (CoRR, 2024)

Compressed Online Learning of Conditional Mean Embedding. - Boya Hou; Sina Sanjari; Alec Koppel; Subhonmesh Bose (CoRR, 2024)

Nash Equilibria for Exchangeable Team-Against-Team Games, Their Mean-Field Limit, and the Role of Common Randomness. - Sina Sanjari; Naci Saldi; Serdar Yüksel (SIAM J. Control. Optim., 2024)

Quantum Markov Decision Processes: General Theory, Approximations, and Classes of Policies. - Naci Saldi; Sina Sanjari; Serdar Yüksel (SIAM J. Control. Optim., 2025)

Incentive Designs for Stackelberg Games with a Large Number of Followers and their Mean-Field Limits. - Sina Sanjari; Subhonmesh Bose; Tamer Basar (Dyn. Games Appl., 2025)