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Soomin Lee
Soomin Lee
Amazon Research
Подтвержден адрес электронной почты в домене amazon.com
Название
Процитировано
Процитировано
Год
Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
G Lan, S Lee, Y Zhou
https://arxiv.org/abs/1701.03961, 2017
2632017
Distributed random projection algorithm for convex optimization
S Lee, A Nedic
IEEE Journal of Selected Topics in Signal Processing 7 (2), 221-229, 2013
2182013
A dual approach for optimal algorithms in distributed optimization over networks
CA Uribe, S Lee, A Gasnikov, A Nedić
2020 Information theory and applications workshop (ITA), 1-37, 2020
1642020
On stochastic subgradient mirror-descent algorithm with weighted averaging
A Nedic, S Lee
SIAM Journal on Optimization 24 (1), 84-107, 2014
1302014
Asynchronous gossip-based random projection algorithms over networks
S Lee, A Nedić
IEEE Transactions on Automatic Control 61 (4), 953-968, 2015
1002015
Stochastic dual averaging for decentralized online optimization on time-varying communication graphs
S Lee, A Nedić, M Raginsky
IEEE Transactions on Automatic Control 62 (12), 6407-6414, 2017
922017
Optimal algorithms for distributed optimization
CA Uribe, S Lee, A Gasnikov, A Nedić
arXiv preprint arXiv:1712.00232, 2017
682017
On the sublinear regret of distributed primal-dual algorithms for online constrained optimization
S Lee, MM Zavlanos
arXiv preprint arXiv:1705.11128, 2017
492017
Decentralized online optimization with global objectives and local communication
A Nedić, S Lee, M Raginsky
2015 American Control Conference (ACC), 4497-4503, 2015
472015
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention
WU Ahmad, X Bai, S Lee, KW Chang
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
462021
Coordinate dual averaging for decentralized online optimization with nonseparable global objectives
S Lee, A Nedić, M Raginsky
IEEE Transactions on Control of Network Systems 5 (1), 34-44, 2016
412016
Distributed constrained online learning
S Paternain, S Lee, MM Zavlanos, A Ribeiro
IEEE Transactions on Signal Processing 68, 3486-3499, 2020
262020
Approximate projection methods for decentralized optimization with functional constraints
S Lee, MM Zavlanos
IEEE Transactions on Automatic Control 63 (10), 3248-3260, 2017
212017
Distributed continuous-time online optimization using saddle-point methods
S Lee, A Ribeiro, MM Zavlanos
2016 IEEE 55th Conference on Decision and Control (CDC), 4314-4319, 2016
212016
Hyperfast second-order local solvers for efficient statistically preconditioned distributed optimization
P Dvurechensky, D Kamzolov, A Lukashevich, S Lee, E Ordentlich, ...
EURO Journal on Computational Optimization 10, 100045, 2022
202022
Distributed primal-dual methods for online constrained optimization
S Lee, MM Zavlanos
2016 American Control Conference (ACC), 7171-7176, 2016
202016
Complexity certification of a distributed augmented lagrangian method
S Lee, N Chatzipanagiotis, MM Zavlanos
IEEE Transactions on Automatic Control 63 (3), 827-834, 2017
192017
Distributed Active State Estimation with User-Specified Accuracy
C Freundlich, S Lee, MM Zavlanos
arXiv preprint arXiv:1706.01576, 2017
192017
A distributed augmented Lagrangian method for model predictive control
S Lee, N Chatzipanagiotis, MM Zavlanos
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 2888-2893, 2017
82017
PersA-FL: personalized asynchronous federated learning
MT Toghani, S Lee, CA Uribe
Optimization Methods and Software, 1-38, 2023
72023
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