78 citations · 304 across the 58 of their papers we have counts for
74 papers
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
Osama A. Hanna, Merve Karakas, Lin F. Yang +1
Multi-Armed Bandit (MAB) systems are witnessing an upswing in applications within multi-agent distributed environments, leading to the advancement of collaborative MAB algorithms.…
Supporting Passive Users in mmWave Networks
Mine Gokce Dogan, Martina Cardone, Christina Fragouli
The interference from active to passive users is a well-recognized challenge in millimeter-wave (mmWave) communications. We propose a method that enables to limit the interference…
A Diagonal Splitting Algorithm for Adaptive Group Testing
Chaorui Yao, Pavlos Nikolopoulos, Christina Fragouli
Group testing enables to identify infected individuals in a population using a smaller number of tests than individual testing. To achieve this, group testing algorithms commonly a…
Common Information Dimension
Osama Hanna, Xinlin Li, Suhas Diggavi +1
The exact common information between a set of random variables is defined as the minimum entropy of a shared random variable that allows for the exact distributive si…
Proactive Resilient Transmission and Scheduling Mechanisms for mmWave Networks
Mine Gokce Dogan, Martina Cardone, Christina Fragouli
This paper aims to develop resilient transmission mechanisms to suitably distribute traffic across multiple paths in an arbitrary millimeter-wave (mmWave) network. The main contrib…
Contexts can be Cheap: Solving Stochastic Contextual Bandits with Linear Bandit Algorithms
Osama A. Hanna, Lin F. Yang, Christina Fragouli
In this paper, we address the stochastic contextual linear bandit problem, where a decision maker is provided a context (a random set of actions drawn from a distribution). The exp…