Publications

A detailed list can be found in my Scholar profile

Preprints

  • A. Tsiamis*, I. Ziemann*, N. Matni, and G. J. Pappas, "Statistical Learning for Control: A Finite Sample Perspective", 2022. [arxiv]
    *equal contribution

  • A. Tsiamis, D. S. Kalogerias, A. Ribeiro, and G. J. Pappas, "Linear Quadratic Control with Risk Constraints", 2022. [arxiv]

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

Journal Papers

  • 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

  • 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. [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