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Dionysios S. Kalogerias

Yale | Department of EE

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Cell: +1 (732) 692-7564
e-mail: dionysis.kalogerias@yale.edu

Latest News

New paper “Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally” (preprint available). May 5, 2023
New paper “Robust and Reliable Resource Allocation via Tail Waterfilling” (preprint available). May 1, 2023
I have been elevated to the grade of IEEE Senior Member. April 28, 2023
New paper “Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design” (preprint available). April 22, 2023
Paper “Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization” was accepted to ICASSP 2023. February 22, 2023
Project “Risk-Aware Resource Allocation for Robust Wireless Autonomy” has been funded by the NSF (CCF/CIF). Thanks to the NSF for the support on this exciting project! February 11, 2023
Paper “Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD” got accepted to ICLR 2023. January 21, 2023
New paper “Risk-Aware Stability of Discrete-Time Systems” (preprint available on arXiv). November 23, 2022
New paper “Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization” (preprint available in “Publications”). October 31, 2022
Paper “Black Box Generalization” just got accepted to NeurIPS 2022. September 15, 2022
New paper “Risk-Constrained Nonconvex Functional Resource Allocation has Zero Duality Gap” (preprint available in “Publications”). September 4, 2022
Paper “State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems” was accepted for presentation at CDC 2022 (arXiv preprint in “Publications”). July 18, 2022
I will be an invited speaker at RSS 2022 workshop on “Risk-Aware Decision Making: From Optimal Control to RL”. June 25, 2022
Fresh update to paper “Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD” (see “Publications”, soon on arXiv). June 6, 2022
I will be an invited speaker at CWIT 2022, (invited) session on Data Science and Information Theory. May 17, 2022

Dionysios S. Kalogerias

Yale | Department of EE

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