1 citations · 1 across the 6 of their papers we have counts for
14 papers
A Unified Framework for Continuous-time Unconstrained Distributed Optimization
Behrouz Touri, Bahman Gharesifard
We introduce a class of distributed nonlinear control systems, termed as the flow-tracker dynamics, which capture phenomena where the average state is controlled by the average con…
Logarithmic Regret in Adaptive Control of Noisy Linear Quadratic Regulator Systems Using Hints
Mohammad Akbari, Bahman Gharesifard, Tamas Linder
The problem of regret minimization for online adaptive control of linear-quadratic systems is studied. In this problem, the true system transition parameters (matrices and )…
Neural ODE Control for Trajectory Approximation of Continuity Equation
Karthik Elamvazhuthi, Bahman Gharesifard, Andrea Bertozzi +1
We consider the controllability problem for the continuity equation, corresponding to neural ordinary differential equations (ODEs), which describes how a probability measure is pu…
Renyi Fair Information Bottleneck for Image Classification
Adam Gronowski, William Paul, Fady Alajaji +2
We develop a novel method for ensuring fairness in machine learning which we term as the Renyi Fair Information Bottleneck (RFIB). We consider two different fairness constraints -…
Submodular Maximization with Limited Function Access
Andrew Downie, Bahman Gharesifard, Stephen L. Smith
We consider a class of submodular maximization problems in which decision-makers have limited access to the objective function. We explore scenarios where the decision-maker can ob…
A Note on Nussbaum-type Control and Lie-bracket Approximation
Marc Weber, Christian Ebenbauer, Bahman Gharesifard
In this paper, we propose an adaptive control law for completely unknown scalar linear systems based on Lie-bracket approximation methods. We investigate stability and convergence…