7 citations · 11 across the 6 of their papers we have counts for
7 papers
Probability-Maximizing Change Detection: Finite-Window Optimality
Ali Tajer, Javad Heydari
This paper investigates probability-maximizing sequential change detection, a formulation in which performance is measured by the probability of stopping within an admissible inter…
Reinforcement Learning-Based Coverage Path Planning with Implicit Cellular Decomposition
Javad Heydari, Olimpiya Saha, Viswanath Ganapathy
Coverage path planning in a generic known environment is shown to be NP-hard. When the environment is unknown, it becomes more challenging as the robot is required to rely on its o…
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it
Viswanath Ganapathy, Sauptik Dhar, Olimpiya Saha +3
In recent times, advances in artificial intelligence (AI) and IoT have enabled seamless and viable maintenance of appliances in home and building environments. Several studies have…
Universum GANs: Improving GANs through contradictions
Sauptik Dhar, Javad Heydari, Samarth Tripathi +2
Limited availability of labeled-data makes any supervised learning problem challenging. Alternative learning settings like semi-supervised and universum learning alleviate the depe…
Quickest Search for a Change Point
Javad Heydari, Ali Tajer
This paper considers a sequence of random variables generated according to a common distribution. The distribution might undergo periods of transient changes at an unknown set of t…
Active Sampling for the Quickest Detection of Markov Networks
Javad Heydari, Ali Tajer, H. Vincent Poor
Consider random variables forming a Markov random field (MRF). The true model of the MRF is unknown, and it is assumed to belong to a binary set. The objective is to sequential…
Quickest Localization of Anomalies in Power Grids: A Stochastic Graphical Framework
Javad Heydari, Ali Tajer
Agile localization of anomalous events plays a pivotal role in enhancing the overall reliability of the grid and avoiding cascading failures. This is especially of paramount signif…