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Soomin Lee
Soomin Lee
Amazon Alexa Shopping Research
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Tytuł
Cytowane przez
Cytowane przez
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Communication-Efficient Algorithms for Decentralized and Stochastic Optimization
G Lan, S Lee, Y Zhou
https://arxiv.org/abs/1701.03961, 2017
2372017
Distributed random projection algorithm for convex optimization
S Lee, A Nedic
IEEE Journal of Selected Topics in Signal Processing 7 (2), 221-229, 2013
2052013
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
1552020
On stochastic subgradient mirror-descent algorithm with weighted averaging
A Nedic, S Lee
SIAM Journal on Optimization 24 (1), 84-107, 2014
1232014
Asynchronous gossip-based random projection algorithms over networks
S Lee, A Nedić
IEEE Transactions on Automatic Control 61 (4), 953-968, 2015
932015
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
782017
On the sublinear regret of distributed primal-dual algorithms for online constrained optimization
S Lee, MM Zavlanos
arXiv preprint arXiv:1705.11128, 2017
442017
Decentralized online optimization with global objectives and local communication
A Nedić, S Lee, M Raginsky
2015 American Control Conference (ACC), 4497-4503, 2015
432015
Optimal algorithms for distributed optimization
CA Uribe, S Lee, A Gasnikov, A Nedić
arXiv preprint arXiv:1712.00232, 2017
422017
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
392016
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention
WU Ahmad, X Bai, S Lee, KW Chang
ACL 1, 1389–1404, 2021
332021
Distributed constrained online learning
S Paternain, S Lee, MM Zavlanos, A Ribeiro
IEEE Transactions on Signal Processing 68, 3486-3499, 2020
232020
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
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
182017
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
172022
Distributed primal-dual methods for online constrained optimization
S Lee, MM Zavlanos
2016 American Control Conference (ACC), 7171-7176, 2016
162016
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
DrSVM: Distributed random projection algorithms for SVMs
S Lee, A Nedić
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5286-5291, 2012
72012
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