activity
20132022
most citedSpatially Controlled Relay Beamforming: -Stage Optimal Policies

6 citations · 25 across the 9 of their papers we have counts for

collaborators

15 papers

eess.SY20221 cited

Risk-Aware Stability of Discrete-Time Systems

Margaret P. Chapman, Dionysios S. Kalogerias

We develop a generalized stability framework for stochastic discrete-time systems, where the generality pertains to the ways in which the distribution of the state energy can be ch…

math.OC2022

State-Output Risk-Constrained Quadratic Control of Partially Observed Linear Systems

Nikolas Koumpis, Anastasios Tsiamis, Dionysios Kalogerias

We propose a methodology for performing risk-averse quadratic regulation of partially observed Linear Time-Invariant (LTI) systems disturbed by process and output noise. To compens…

eess.SY2021

Model-Free Learning of Optimal Deterministic Resource Allocations in Wireless Systems via Action-Space Exploration

Hassaan Hashmi, Dionysios S. Kalogerias

Wireless systems resource allocation refers to perpetual and challenging nonconvex constrained optimization tasks, which are especially timely in modern communications and networki…

cs.LG20214 cited

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

Dionysios S. Kalogerias

Conditional Value-at-Risk () is one of the most popular measures of risk, which has been recently considered as a performance criterion in supervised statistical lea…

cs.LG20205 cited

Zeroth-order Deterministic Policy Gradient

Harshat Kumar, Dionysios S. Kalogerias, George J. Pappas +1

Deterministic Policy Gradient (DPG) removes a level of randomness from standard randomized-action Policy Gradient (PG), and demonstrates substantial empirical success for tackling…

eess.SY2020

Risk-Constrained Linear-Quadratic Regulators

Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon +2

We propose a new risk-constrained reformulation of the standard Linear Quadratic Regulator (LQR) problem. Our framework is motivated by the fact that the classical (risk-neutral) L…