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BUGRA CAN
BUGRA CAN
Verified email at scarletmail.rutgers.edu
Title
Cited by
Cited by
Year
Accelerated linear convergence of stochastic momentum methods in wasserstein distances
B Can, M Gurbuzbalaban, L Zhu
International Conference on Machine Learning, 891-901, 2019
412019
Ideal: Inexact decentralized accelerated augmented lagrangian method
Y Arjevani, J Bruna, B Can, M Gurbuzbalaban, S Jegelka, H Lin
Advances in Neural Information Processing Systems 33, 20648-20659, 2020
242020
Entropic risk-averse generalized momentum methods
B Can, M Gürbüzbalaban
arXiv preprint arXiv:2204.11292, 2022
62022
Tengrad: Time-efficient natural gradient descent with exact fisher-block inversion
S Soori, B Can, B Mu, M Gürbüzbalaban, MM Dehnavi
arXiv preprint arXiv:2106.03947, 2021
62021
ASYNC: A cloud engine with asynchrony and history for distributed machine learning
S Soori, B Can, M Gurbuzbalaban, MM Dehnavi
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
62020
Conditional law and occupation times of two-sided sticky Brownian motion
B Can, M Çağlar
Statistics & Probability Letters 165, 108856, 2020
52020
HyLo: a hybrid low-rank natural gradient descent method
B Mu, S Soori, B Can, M Gürbüzbalaban, MM Dehnavi
SC22: International Conference for High Performance Computing, Networking …, 2022
42022
Randomized gossiping with effective resistance weights: Performance guarantees and applications
B Can, S Soori, NS Aybat, MM Dehnavi, M Gürbüzbalaban
IEEE Transactions on Control of Network Systems 9 (2), 524-536, 2022
22022
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm
B Can, M Gurbuzbalaban, NS Aybat
arXiv preprint arXiv:2202.09688, 2022
22022
Decentralized computation of effective resistances and acceleration of distributed optimization algorithms. arXiv e-print
B Can, S Soori, NS Aybat, MM Dehvani, M Gürbüzbalaban
arXiv preprint arXiv:1907.13110, 2019
22019
L-DQN: An asynchronous limited-memory distributed Quasi-Newton method
B Can, S Soori, MM Dehnavi, M Gürbüzbalaban
2021 60th IEEE Conference on Decision and Control (CDC), 2386-2393, 2021
12021
Theory and methods for stochastic, accelerated, and distributed optimization
B Can
Rutgers The State University of New Jersey, Graduate School-Newark, 2022
2022
ASYNC: Asynchronous Machine Learning on Distributed Systems.
S Soori, B Can, M Gurbuzbalaban, MM Dehnavi
arXiv preprint arXiv:1907.08526, 2019
2019
Multigroup SIS Epidemics With Simplicial and Higher Order Interactions..... P. Cisneros-Velarde and F. Bullo 695
B Can, S Soori, NS Aybat, MM Dehnavi, M Gürbüzbalaban, Y Bi, J Lavaei, ...
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