Dionysis Kalogerias

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Athina PetropuluECE RutgersVerified email at rutgers.edu
Konstantinos NikolakakisYale UniversityVerified email at yale.edu
Alejandro RibeiroUniversity of PennsylvaniaVerified email at seas.upenn.edu
George PappasUPS Foundation Professor, Electrical and Systems Engineering, University of PennsylvaniaVerified email at seas.upenn.edu
Anand SarwateAssociate Professor, Rutgers UniversityVerified email at rutgers.edu
Spyridon PougkakiotisLecturer in Optimization, King's College LondonVerified email at kcl.ac.uk
Amin KarbasiRobust Intelligence, Yale University (on leave)Verified email at yale.edu
Anastasios TsiamisPostdoc, ETH ZürichVerified email at control.ee.ethz.ch
Luiz F. O. ChamonUniversity of StuttgartVerified email at simtech.uni-stuttgart.de
Anastasios DimasPhD Rutgers UniversityVerified email at rutgers.edu
Warrren B PowellPrinceton UniversityVerified email at princeton.edu
Mark EisenJohns Hopkins Applied Physics LaboratoryVerified email at jhuapl.edu
Or SheffetBar-Ilan UniverstiyVerified email at biu.ac.il
Farzin HaddadpourAI Scientist, GE HealthcareVerified email at gehealthcare.com
Hassaan HashmiPh.D. Student at Yale UniversityVerified email at yale.edu
Harshat KumarSenior RL Engineer, Quilter.aiVerified email at quilter.ai
Nikolaos ChatzipanagiotisAmazon Inc.Verified email at amazon.com
Michael M. ZavlanosDuke UniversityVerified email at duke.edu
Gokberk YaylaliPh.D. Student at Electrical and Computer Engineering, Yale UniversityVerified email at yale.edu
Shunqiao SunThe University of AlabamaVerified email at ua.edu

Dionysis Kalogerias

Assistant Professor of ECE, SEAS @ Yale University

Verified email at yale.edu - Homepage

Optimization Risk Statistical Learning Decision under Uncertainty Signal Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Matrix completion in colocated MIMO radar: Recoverability, bounds & theoretical guarantees DS Kalogerias, AP Petropulu IEEE Transactions on Signal Processing 62 (2), 309-321, 2013	93	2013
Risk-constrained linear-quadratic regulators A Tsiamis, DS Kalogerias, LFO Chamon, A Ribeiro, GJ Pappas 2020 59th IEEE Conference on Decision and Control (CDC), 3040-3047, 2020	47	2020
Cooperative beamforming with predictive relay selection for urban mmWave communications A Dimas, DS Kalogerias, AP Petropulu IEEE Access 7, 157057-157071, 2019	26	2019
Recursive optimization of convex risk measures: Mean-semideviation models DS Kalogerias, WB Powell arXiv preprint arXiv:1804.00636, 2018	26	2018
Mobile jammers for secrecy rate maximization in cooperative networks DS Kalogerias, N Chatzipanagiotis, MM Zavlanos, AP Petropulu 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	24	2013
Spatially Controlled Relay Beamforming D Kalogerias, A Petropulu IEEE Transactions on Signal Processing 2 (4), 461 – 476, 2018	22	2018
Quantile multi-armed bandits: Optimal best-arm identification and a differentially private scheme KE Nikolakakis, DS Kalogerias, O Sheffet, AD Sarwate IEEE Journal on Selected Areas in Information Theory 2 (2), 534-548, 2021	20	2021
Model-free learning of optimal ergodic policies in wireless systems DS Kalogerias, M Eisen, GJ Pappas, A Ribeiro IEEE Transactions on Signal Processing 68, 6272-6286, 2020	19	2020
Grid based nonlinear filtering revisited: Recursive estimation & asymptotic optimality DS Kalogerias, AP Petropulu IEEE Transactions on Signal Processing 64 (16), 4244-4259, 2016	19	2016
Learning tree structures from noisy data KE Nikolakakis, DS Kalogerias, AD Sarwate The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	18	2019
Beyond lipschitz: Sharp generalization and excess risk bounds for full-batch gd KE Nikolakakis, F Haddadpour, A Karbasi, DS Kalogerias International Conference on Learning Representations, 2023	17	2023
Black-Box Generalization: Stability of Zeroth-Order Learning KE Nikolakakis, F Haddadpour, DS Kalogerias, A Karbasi Advances in neural information processing systems, 2022	17	2022
Zeroth-order stochastic compositional algorithms for risk-aware learning DS Kalogerias, WB Powell SIAM Journal on Optimization 32 (2), 386-416, 2022	17	2022
Predictive learning on hidden tree-structured Ising models KE Nikolakakis, DS Kalogerias, AD Sarwate Journal of Machine Learning Research 22 (59), 1-82, 2021	16	2021
Zeroth-order deterministic policy gradient H Kumar, DS Kalogerias, GJ Pappas, A Ribeiro arXiv preprint arXiv:2006.07314, 2020	16	2020
Mobile beamforming & spatially controlled relay communications DS Kalogerias, AP Petropulu 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016	14	2016
Mobi-cliques for improving ergodic secrecy in fading wiretap channels under power constraints DS Kalogerias, AP Petropulu 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014	14	2014
Sparse sensing in colocated MIMO radar: A matrix completion approach D Kalogerias, S Sun, A Petropulu IEEE International Symposium on Signal Processing and Information Technology …, 2013	14	2013
Linear quadratic control with risk constraints A Tsiamis, D Kalogerias, A Ribeiro, GJ Pappas Automatica 174, 112095, 2025	13*	2025
Better safe than sorry: Risk-aware nonlinear bayesian estimation DS Kalogerias, LFO Chamon, GJ Pappas, A Ribeiro ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020	13	2020

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