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Dionysis Kalogerias

Yale | Department of ECE

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Officially starting as a postdoctoral researcher at the Department of ESE, UPenn

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Previous Post I will be an invited speaker at the INFORMS Annual Meeting (October 2019, Seattle, WA), Session on Risk-Averse Stochastic Programming: Theory and Applications

Next Post New paper on model-free learning of optimal resource allocations in wireless systems under preparation; preprint available soon!

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

Latest News

New paper “Data-Driven Learning of Two-Stage Beamformers in Passive IRS-Assisted Systems with Inexact Oracles”. October 31, 2024
New paper “Compatible Gradient Approximations for Actor-Critic Algorithms”. October 31, 2024
Paper “Risk-Aware Stability of Linear Systems” has been accepted for publication in the IEEE Transactions on Automatic Control. August 2, 2024
New paper “Distributionally Robust Power Policies for Wireless Systems under Power Fluctuation Risk” has been accepted to Asilomar 2024 (preprint will be uploaded very soon). July 29, 2024
New paper “Throughput-Optimal Scheduling via Rate Learning” has been accepted to CDC 2024. July 28, 2024
New paper “A Distributionally Robust Estimator that Dominates the Empirical Average”. July 5, 2024
Former postdoc Spyros Pougkakiotis will be joining the Department of Mathematics of King’s College London as a Lecturer (Assistant Professor) in Optimization this August. Congrats Spyro (once again)! June 7, 2024
1st year PhD student Baturay Saglam will be joining Google Research for a summer internship. Congrats Baturay! May 31, 2024
New paper “An Efficient Active-Set Method with Applications to Sparse Approximations and Risk Minimization”. May 8, 2024
New paper “FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol”. April 2, 2024
Paper “Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning” has been accepted to ICLR 2024. January 16, 2024
Papers “Stochastic Resource Allocation via Dual Tail Waterfilling” and “Strong Duality Relations in Nonconvex Risk-Constrained Learning” have been accepted to CISS 2024. January 16, 2024
Paper “Federated Learning under Restricted User Availability” has been accepted to ICASSP 2024. December 13, 2023
Paper “Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design” has been accepted to IEEE Transactions on Signal Processing. December 11, 2023
New paper “Stochastic Resource Allocation via Dual Tail Waterfilling”. December 11, 2023

Dionysis Kalogerias

Yale | Department of ECE

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