Amir Daneshmand

According to our database, Amir Daneshmand authored at least 12 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Distributed Optimization Based on Gradient Tracking Revisited: Enhancing Convergence Rate via Surrogation.

Ying Sun, Gesualdo Scutari, Amir Daneshmand

SIAM J. Optim., 2022

2021

Newton Method over Networks is Fast up to the Statistical Precision.

Amir Daneshmand, Gesualdo Scutari, Pavel E. Dvurechensky, Alexander V. Gasnikov

Proceedings of the 38th International Conference on Machine Learning, 2021

An Accelerated Second-Order Method for Distributed Stochastic Optimization.

Artem Agafonov, Pavel E. Dvurechensky, Gesualdo Scutari, Alexander V. Gasnikov, Dmitry Kamzolov, Aleksandr Lukashevich, Amir Daneshmand

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Second-Order Guarantees of Distributed Gradient Algorithms.

Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev

SIAM J. Optim., 2020

2019

Decentralized Dictionary Learning Over Time-Varying Digraphs.

Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei, Brian M. Sadler

J. Mach. Learn. Res., 2019

Convergence Rate of Distributed Optimization Algorithms Based on Gradient Tracking.

Ying Sun, Amir Daneshmand, Gesualdo Scutari

CoRR, 2019

2018

Second-order Guarantees of Gradient Algorithms over Networks.

Amir Daneshmand, Gesualdo Scutari, Vyacheslav Kungurtsev

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

D2L: Decentralized dictionary learning over dynamic networks.

Amir Daneshmand, Ying Sun, Gesualdo Scutari, Francisco Facchinei

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Distributed dictionary learning.

Amir Daneshmand, Gesualdo Scutari, Francisco Facchinei

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization.

Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

IEEE Trans. Signal Process., 2015

2014

Hybrid Random/Deterministic Parallel Algorithms for Nonconvex Big Data Optimization.

Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

CoRR, 2014

Flexible selective parallel algorithms for big data optimization.

Amir Daneshmand, Francisco Facchinei, Vyacheslav Kungurtsev, Gesualdo Scutari

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014