8 citations · 10 across the 6 of their papers we have counts for
8 papers
Matroid-Aware Spectral Certificates for Multiplicative Coverage Approximation
Navid Rezazadeh
We maximize the weight of edges covered by selected vertices, together with nonnegative individual rewards, under an arbitrary matroid constraint. The continuous coverage objective…
Covariance-Rank Rounding and a Sharp Integrality Gap for a Matroid Edge-Coverage Moment Lift
Navid Rezazadeh
Selecting vertices covers their incident edges, but a matroid can prevent selecting the combinations that cover the most weight. We study whether pair-selection information improve…
Concept Representation Learning with Contrastive Self-Supervised Learning
Daniel T. Chang
Concept-oriented deep learning (CODL) is a general approach to meet the future challenges for deep learning: (1) learning with little or no external supervision, (2) coping with te…
Distributed Strategy Selection: A Submodular Set Function Maximization Approach
Navid Rezazadeh, Solmaz S. Kia
Constrained submodular set function maximization problems often appear in multi-agent decision-making problems with a discrete feasible set. A prominent example is the problem of m…
Multi-Agent Maximization of a Monotone Submodular Function via Maximum Consensus
Navid Rezazadeh, Solmaz S. Kia
Constrained submodular set function maximization problems often appear in multi-agent decision-making problems with a discrete feasible set. A prominent example is the problem of m…
Laser tracker adaptive tuning
Navid Rezazadeh
The goal of the automatic tuning algorithm is to compute suitable values for the controller gains, including the proportional (Kp), integral (Ki), and derivative (Kd), as well as t…
A sub-modular receding horizon solution for mobile multi-agent persistent monitoring
Navid Rezazadeh, Solmaz S. Kia
We study the problem of persistent monitoring of a finite number of inter-connected geographical nodes by a group of heterogeneous mobile agents. We assign to each geographical nod…
Privacy preservation in continuous-time average consensus algorithm via deterministic additive obfuscation signals
Navid Rezazadeh, Solmaz S. Kia
This paper considers the problem of privacy preservation against passive internal and external malicious agents in the continuous-time Laplacian average consensus algorithm over st…