Dionysios S. Kalogerias

Orcid: 0000-0002-3459-5044

Affiliations:
  • Yale University, Department of Electrical Engineering, New Haven, USA


According to our database1, Dionysios S. Kalogerias authored at least 60 papers between 2013 and 2024.

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Bibliography

2024
Model-Free Learning of Two-Stage Beamformers for Passive IRS-Aided Network Design.
IEEE Trans. Signal Process., 2024

Throughput-Optimal Scheduling via Rate Learning.
CoRR, 2024

Compatible Gradient Approximations for Actor-Critic Algorithms.
CoRR, 2024

An efficient active-set method with applications to sparse approximations and risk minimization.
CoRR, 2024

FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol.
CoRR, 2024

Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Federated Learning under Restricted user Availability.
Proceedings of the IEEE International Conference on Acoustics, 2024

Stochastic Resource Allocation via Dual Tail Waterfilling.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Strong Duality Relations in Nonconvex Risk-Constrained Learning.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023
A Zeroth-Order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization.
SIAM J. Sci. Comput., October, 2023

Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally.
CoRR, 2023

Model-Free Learning of Optimal Two-Stage Beamformers for Passive IRS-Aided Network Design.
CoRR, 2023

Robust and Reliable Stochastic Resource Allocation via Tail Waterfilling.
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023

Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Model-Free Learning of Optimal Beamformers for Passive IRS-Assisted Sumrate Maximization.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Zeroth-Order Stochastic Compositional Algorithms for Risk-Aware Learning.
SIAM J. Optim., 2022

Risk-Aware Stability of Discrete-Time Systems.
CoRR, 2022

Risk-Constrained Nonconvex Dynamic Resource Allocation has Zero Duality Gap.
CoRR, 2022

Black-Box Generalization.
CoRR, 2022

Black-Box Generalization: Stability of Zeroth-Order Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast and Stable Convergence of Online SGD for CV@R-Based Risk-Aware Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme.
IEEE J. Sel. Areas Inf. Theory, 2021

Predictive Learning on Hidden Tree-Structured Ising Models.
J. Mach. Learn. Res., 2021

Linear Quadratic Control with Risk Constraints.
CoRR, 2021

Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Uncertainty Principles in Risk-Aware Statistical Estimation.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems.
IEEE Trans. Signal Process., 2020

Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions.
CoRR, 2020

Zeroth-order Deterministic Policy Gradient.
CoRR, 2020

Best-Arm Identification for Quantile Bandits with Privacy.
CoRR, 2020

A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems.
Proceedings of the 28th European Signal Processing Conference, 2020

Risk-Constrained Linear-Quadratic Regulators.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Risk-Aware MMSE Estimation.
CoRR, 2019

Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions.
CoRR, 2019

Cooperative Beamforming With Predictive Relay Selection for Urban mmWave Communications.
IEEE Access, 2019

Learning Tree Structures from Noisy Data.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Spatially Controlled Relay Beamforming.
IEEE Trans. Signal Process., 2018

Predictive Learning on Sign-Valued Hidden Markov Trees.
CoRR, 2018

2017
Spatially Controlled Relay Beamforming: $2$-Stage Optimal Policies.
CoRR, 2017

Enhancing QoS in spatially controlled beamforming networks via distributed stochastic programming.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Parameter estimation for hierarchical channel profiling.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016
Grid Based Nonlinear Filtering Revisited: Recursive Estimation & Asymptotic Optimality.
IEEE Trans. Signal Process., 2016

Uniform $\varepsilon$-Stability of Distributed Nonlinear Filtering Over DNAs: Gaussian-Finite HMMs.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Mobile beamforming & spatially controlled relay communications.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Asymptotically Optimal Discrete-Time Nonlinear Filters From Stochastically Convergent State Process Approximations.
IEEE Trans. Signal Process., 2015

Sequential Channel State Tracking & SpatioTemporal Channel Prediction in Mobile Wireless Sensor Networks.
CoRR, 2015

Nonlinear spatiotemporal channel gain map tracking in mobile cooperative networks.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

On pathwise convergence of particle & grid based nonlinear filters: Feller vs conditional regularity.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Distributed nonlinear filtering of partially observed Markov chains over WSNs: Truncating the ADMM.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Matrix Completion in Colocated MIMO Radar: Recoverability, Bounds & Theoretical Guarantees.
IEEE Trans. Signal Process., 2014

Mobi-cliques for improving ergodic secrecy in fading wiretap channels under power constraints.
Proceedings of the IEEE International Conference on Acoustics, 2014

RIP bounds for naively subsampled Scrambled Fourier sensing matrices.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
On the coherence properties of random Euclidean distance matrices.
Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Sparse sensing in colocated MIMO radar: A matrix completion approach.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2013

Mobile jammers for secrecy rate maximization in cooperative networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

MC-MIMO radar: Recoverability and performance bounds.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013


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