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stat.ML2021
Distributed Sparse Feature Selection in Communication-Restricted Networks
Hanie Barghi, Amir Najafi, Seyed Abolfazl Motahari
This paper aims to propose and theoretically analyze a new distributed scheme for sparse linear regression and feature selection. The primary goal is to learn the few causal featur…
stat.ML2017
Learning of Gaussian Processes in Distributed and Communication Limited Systems
Mostafa Tavassolipour, Seyed Abolfazl Motahari, Mohammad-Taghi Manzuri Shalmani
It is of fundamental importance to find algorithms obtaining optimal performance for learning of statistical models in distributed and communication limited systems. Aiming at char…