Bugra Can

According to our database, Bugra Can authored at least 9 papers between 2019 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

A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm.

Bugra Can, Mert Gürbüzbalaban, Necdet Serhat Aybat

CoRR, 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

IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method.

Yossi Arjevani, Joan Bruna, Bugra Can, Mert Gürbüzbalaban, Stefanie Jegelka, Hongzhou Lin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

2019

ASYNC: Asynchronous Machine Learning on Distributed Systems.

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

CoRR, 2019

Accelerated Linear Convergence of Stochastic Momentum Methods in Wasserstein Distances.

Bugra Can, Mert Gürbüzbalaban, Lingjiong Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019