| Communication-Efficient Algorithms for Decentralized and Stochastic Optimization G Lan, S Lee, Y Zhou https://arxiv.org/abs/1701.03961, 2017 | 215 | 2017 |
| Distributed random projection algorithm for convex optimization S Lee, A Nedic IEEE Journal of Selected Topics in Signal Processing 7 (2), 221-229, 2013 | 197 | 2013 |
| 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 | 145 | 2020 |
| On stochastic subgradient mirror-descent algorithm with weighted averaging A Nedic, S Lee SIAM Journal on Optimization 24 (1), 84-107, 2014 | 115 | 2014 |
| Asynchronous gossip-based random projection algorithms over networks S Lee, A Nedić IEEE Transactions on Automatic Control 61 (4), 953-968, 2015 | 83 | 2015 |
| 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 | 60 | 2017 |
| Optimal algorithms for distributed optimization CA Uribe, S Lee, A Gasnikov, A Nedić arXiv preprint arXiv:1712.00232, 2017 | 54 | 2017 |
| Decentralized online optimization with global objectives and local communication A Nedić, S Lee, M Raginsky 2015 American Control Conference (ACC), 4497-4503, 2015 | 39 | 2015 |
| On the sublinear regret of distributed primal-dual algorithms for online constrained optimization S Lee, MM Zavlanos arXiv preprint arXiv:1705.11128, 2017 | 36 | 2017 |
| 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 | 30 | 2016 |
| 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 | 23 | 2021 |
| Complexity certification of a distributed augmented lagrangian method S Lee, N Chatzipanagiotis, MM Zavlanos IEEE Transactions on Automatic Control 63 (3), 827-834, 2017 | 20 | 2017 |
| 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 | 19 | 2016 |
| Approximate projection methods for decentralized optimization with functional constraints S Lee, MM Zavlanos IEEE Transactions on Automatic Control 63 (10), 3248-3260, 2017 | 18 | 2017 |
| Distributed constrained online learning S Paternain, S Lee, MM Zavlanos, A Ribeiro IEEE Transactions on Signal Processing 68, 3486-3499, 2020 | 17 | 2020 |
| Distributed Active State Estimation with User-Specified Accuracy C Freundlich, S Lee, MM Zavlanos arXiv preprint arXiv:1706.01576, 2017 | 16 | 2017 |
| 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 | 15 | 2022 |
| Distributed primal-dual methods for online constrained optimization S Lee, MM Zavlanos 2016 American Control Conference (ACC), 7171-7176, 2016 | 15 | 2016 |
| DrSVM: Distributed random projection algorithms for SVMs S Lee, A Nedić 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 5286-5291, 2012 | 7 | 2012 |
| 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 | 6 | 2017 |
Angelia NedichProfessor, Arizona State UniversityVerified email at asu.edu
