Saeed Soori

According to our database, Saeed Soori authored at least 11 papers between 2017 and 2022.

Collaborative distances:

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

2022

Randomized Gossiping With Effective Resistance Weights: Performance Guarantees and Applications.

Bugra Can, Saeed Soori, Necdet Serhat Aybat, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

IEEE Trans. Control. Netw. Syst., 2022

HyLo: A Hybrid Low-Rank Natural Gradient Descent Method.

Baorun Mu, Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

TENGraD: Time-Efficient Natural Gradient Descent with Exact Fisher-Block Inversion.

Saeed Soori, Bugra Can, Baourun Mu, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

CoRR, 2021

L-DQN: An Asynchronous Limited-Memory Distributed Quasi-Newton Method.

Bugra Can, Saeed Soori, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

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

2020

MatRox: modular approach for improving data locality in hierarchical (Mat)rix App(Rox)imation.

Bangtian Liu, Kazem Cheshmi, Saeed Soori, Michelle Mills Strout, Maryam Mehri Dehnavi

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning.

Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate.

Saeed Soori, Konstantin Mishchenko, Aryan Mokhtari, Maryam Mehri Dehnavi, Mert Gürbüzbalaban

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

ASYNC: Asynchronous Machine Learning on Distributed Systems.

Saeed Soori, Bugra Can, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

CoRR, 2019

2018

MatRox: A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations.

Bangtian Liu, Kazem Cheshmi, Saeed Soori, Maryam Mehri Dehnavi

CoRR, 2018

Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems.

Saeed Soori, Aditya Devarakonda, Zachary Blanco, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

Proceedings of the 47th International Conference on Parallel Processing, 2018

2017

Avoiding Communication in Proximal Methods for Convex Optimization Problems.

Saeed Soori, Aditya Devarakonda, James Demmel, Mert Gürbüzbalaban, Maryam Mehri Dehnavi

CoRR, 2017