Publications

A detailed list can be found in my Scholar profile

Preprints

• C. Stamouli, A. Tsiamis, M. Morari, J. Lygeros. "Layered Multirate Control of Constrained Linear Systems", 2025. [arxiv]

• A. Kharitenko, M. Fochesato, A. Tsiamis, N. Schmid, J. Lygeros. "Distributionally Robust Optimization over Wasserstein Balls with iid Structure", 2025. [arxiv]

• M. Gargiani, F. Micheli, A. Tsiamis, J. Lygeros. "Semismooth Newton Methods for Risk-Averse Markov Decision Processes", 2025. [arxiv]

• P. D. Grontas, A. Tsiamis, J. Lygeros. "Operator Splitting for Convex Constrained Markov Decision Processes", 2024. [arxiv]

• F. Micheli, A. Tsiamis, J. Lygeros. "Data-Driven Distributionally Robust System Level Synthesis", 2024. [arxiv]

• S. Shi, A. Tsiamis, B. D. Schutter. "Suboptimality analysis of receding horizon quadratic control with unknown linear systems and its applications in learning-based control", 2023. [arxiv]

• A. B. Alexandru, A. Tsiamis, and G. J. Pappas, "Data-Driven Control on Encrypted Data", 2021. [arxiv]

Journal Papers

• A. Tsiamis, D. S. Kalogerias, A. Ribeiro, and G. J. Pappas, "Linear Quadratic Control with Risk Constraints",
  Automatica 2025. [arxiv]

• A. Karapetyan, D. Bolliger, A. Tsiamis, E. C. Balta, J. Lygeros. "Online Linear Quadratic Tracking With Regret Guarantees",
  Control Systems Letters, 2024. [arxiv]

• A. Tsiamis*, I. Ziemann*, N. Matni, and G. J. Pappas, "Statistical Learning for Control: A Finite Sample Perspective",
  IEEE Control Systems Magazine, 2023. [arxiv]
  *equal contribution

• A. Tsiamis, and G. J. Pappas, "Online Learning of the Kalman Filter with Logarithmic Regret",
  IEEE Transactions on Automatic Control, 2022. [arxiv]

• N. Tsilivis, A. Tsiamis, and P. Maragos, "Towards a Sparsity Theory on Weighted Lattices",
  Journal of Mathematical Imaging and Vision, 2022

• A. Tsiamis, and P. Maragos, "Sparsity in Max-Plus Algebra and Systems",
  Discrete Event Dynamic Systems 29 (2), 163-189, 2019. [arxiv]

• A. Tsiamis, K. Gatsis, and G. J. Pappas, "State-Secrecy Codes for Networked Linear Systems",
  IEEE Transactions on Automatic Control, 2019. [arxiv]

Conference Papers

• F. Micheli, E. C. Balta, A. Tsiamis, J. Lygeros. "Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context",
  28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. [link]

• A. Tsiamis*, A. Karapetyan*, Y. Li, E. C. Balta, J. Lygeros. "Predictive Linear Online Tracking of Unknown Targets",
  41st International Conference on Machine Learning (ICML), 2024. Spotlight Presentation. [link]
  *equal contribution

• A. Tsiamis, M. Abdalmoaty, R. S. Smith, J. Lygeros. "Finite Sample Frequency Domain Identification",
  63rd IEEE Conference on Decision and Control (CDC), 2024. [arxiv]

• A. Vlachos, A. Tsiamis, A. Karapetyan, E. C. Balta, J. Lygeros. "Online Residual Learning from Offline Experts for Pedestrian Tracking",
  63rd IEEE Conference on Decision and Control (CDC)}, 2024. [arxiv]

• A. Karapetyan, E. C. Balta, A. Tsiamis, A. Iannelli, J. Lygeros. "On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty",
  63rd IEEE Conference on Decision and Control (CDC), 2024. [arxiv]

• I. Ziemann, A. Tsiamis, B. Lee, Y. Jedra, N. Matni, G. J. Pappas. "A Tutorial on the Non-Asymptotic Theory of System Identification",
  62nd IEEE Conference on Decision and Control (CDC)}, 2023. [arxiv]

• B. Lee, I. Ziemann, A. Tsiamis, H.~Sandberg, N. Matni, G. J. Pappas. "The Fundamental Limitations of Learning Linear-Quadratic Regulators",
  62nd IEEE Conference on Decision and Control (CDC), 2023. [arxiv]

• A. Karapetyan, A. Tsiamis, E. C. Balta, A. Iannelli, J. Lygeros. "Implications of regret on stability of linear dynamical systems",
  22nd World Congress of the International Federation of Automatic Control (IFAC), 2023. [arxiv]

• I. Ziemann, A. Tsiamis, H. Sandberg, and N. Matni "How are policy gradient methods affected by the limits of control?",
  IEEE 61th Conference on Decision and Control (CDC), 2022. Best student paper award. [arxiv]

• A. Impicciatore, A. Tsiamis, Y. Z. Lun, A. D'Innocenzo, and G. J. Pappas, "Secure state estimation over Markov wireless communication channels",
  IEEE 61th Conference on Decision and Control (CDC), 2022. [arxiv]

• N. Koumpis, A. Tsiamis, and D. S. Kalogerias, "State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems",
  IEEE 61th Conference on Decision and Control (CDC), 2022. [arxiv]

• A. Tsiamis, I. Ziemann, M. Morari, N. Matni, and G. J. Pappas, "Learning to Control Linear Systems can be Hard",
  Conference on Learning Theory (COLT), 2022. [arxiv]

• C. Stamouli, A. Tsiamis, M. Morari, G. J. Pappas, "Adaptive Stochastic MPC under Unknown Noise Distribution",
  4th L4DC Conference (Learning for Dynamics and Control), 2022. [link ]

• A. Tsiamis, and G. J. Pappas, "Linear Systems can be Hard to Learn",
  IEEE 60th Conference on Decision and Control (CDC), 2021. [arxiv]

• A. B. Alexandru, A. Tsiamis, G. J. Pappas, "Encrypted distributed Lasso for sparse data predictive control"
  IEEE 60th Conference on Decision and Control (CDC), 2021. [arxiv]

• N. Tsilivis, A. Tsiamis, P. Maragos, "Sparse Approximate Solutions to Max-Plus Equations"
  International Conference on Discrete Geometry and Mathematical Morphology, 2021

• N. Tsilivis, A. Tsiamis, P. Maragos, "Sparsity in Max-Plus Algebra and Applications in Multivariate Convex Regression"
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021

• A. Tsiamis, D. S. Kalogerias, L. F. O. Chamon, A. Ribeiro, and G. J. Pappas, "Risk-Constrained Linear-Quadratic Regulators"
  IEEE 59th Conference on Decision and Control (CDC), 2020. [arxiv]

• A. B. Alexandru, A. Tsiamis, G. J. Pappas, "Towards Private Data-driven Control"
  IEEE 59th Conference on Decision and Control (CDC), 2020.

• A. Tsiamis, N. Matni, and G. J. Pappas, "Sample Complexity of Kalman Filtering for Unknown Systems"
  2nd L4DC Conference, 2020. Oral presentation. [arxiv]

• A. Tsiamis, and G. J. Pappas, "Finite Sample Analysis of Stochastic System Identification"
  IEEE 58th Conference on Decision and Control (CDC), 2019. [arxiv]

• A. Tsiamis, A. B. Alexandru, and G. J. Pappas, " Motion Planning with Secrecy "
  American Control Conference (ACC) 2019. Finalist for best student paper award.

• A. Tsiamis, K. Gatsis, and G. J. Pappas, " An Information Matrix Approach for State Secrecy "
  IEEE 57th Conference on Decision and Control (CDC), 2018. [arxiv]

• A. Tsiamis, K. Gatsis, and G. J. Pappas, " State-Secrecy Codes for Stable Systems "
  American Control Conference (ACC) 2018.

• A. Tsiamis, K. Gatsis, and G. J. Pappas, " State Estimation Codes for Perfect Secrecy"
  IEEE 56th Conference on Decision and Control (CDC), 2017.

• A. Tsiamis, S. Pequito, and G. J. Pappas, "Distributed leader selection in switching networks of high-order integrators"
  55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2017.

• A. Tsiamis, K. Gatsis, and G. J. Pappas, " State Estimation with Secrecy against Eavesdroppers "
  IFAC World Congress 2017. Finalist for young author prize. [arxiv]

• A. Tsiamis, C. K. Verginis, C. P. Bechlioulis, and K. J. Kyriakopoulos, " Cooperative manipulation exploiting only implicit communication"
  2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015

• A. Tsiamis, J. Tumova, C. P. Bechlioulis, G. C. Karras, D. V. Dimarogonas, and K. J. Kyriakopoulos, " Decentralized leader-follower control under high level goals without explicit communication", 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015

• A. Tsiamis, C. P. Bechlioulis, G. C. Karras, and K. J. Kyriakopoulos, " Decentralized object transportation by two nonholonomic mobile robots exploiting only implicit communication", IEEE International Conference on Robotics and Automation (ICRA), 2015