Alec Koppel
Alec Koppel
Research Scientist, U.S. Army Research Laboratory
確認したメール アドレス: mail.mil - ホームページ
タイトル引用先
A saddle point algorithm for networked online convex optimization
A Koppel, FY Jakubiec, A Ribeiro
IEEE Transactions on Signal Processing 63 (19), 5149-5164, 2015
802015
A Class of Prediction-Correction Methods for Time-Varying Convex Optimization
A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro
IEEE Transactions on Signal Processing (submitted), 0
57*
Proximity without consensus in online multi-agent optimization
A Koppel, BM Sadler, A Ribeiro
Proc. Int. Conf. Accoustics Speech Signal Proces (submitted),, 2016
462016
D4L: Decentralized Dynamic Discrminative Dictionary Learning
A Koppel, G Warnell, E Stump, A Ribeiro
IEEE Transactions on Signal and Info. Processing over Networks, 2015
332015
A Decentralized Prediction-Correction Method for Networked Time-Varying Convex Optimization
A Simonetto, A Mokhtari, A Koppel, G Leus, A Ribeiro
Computational Advances in Multi-Sensor Adaptive Processing, IEEE …, 2015
302015
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
292017
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
292017
Online learning for characterizing unknown environments in ground robotic vehicle models
A Koppel, J Fink, G Warnell, E Stump, A Ribeiro
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
192016
A class of parallel doubly stochastic algorithms for large-scale learning
A Mokhtari, A Koppel, A Ribeiro
arXiv preprint arXiv:1606.04991, 2016
192016
Decentralized online learning with kernels
A Koppel, S Paternain, C Richard, A Ribeiro
IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018
172018
Doubly Random Parallel Stochastic Methods for Large Scale Learning
A Mokhtari, A Koppel, A Ribeiro
American Control Conference (submitted), 2016
162016
Parsimonious online learning with kernels via sparse projections in function space
A Koppel, G Warnell, E Stump, A Ribeiro
The Journal of Machine Learning Research 20 (1), 83-126, 2019
15*2019
Policy Evaluation in Continuous MDPs with Efficient Kernelized Gradient Temporal Difference
A Koppel, G Warnell, E Stump, P Stone, A Ribeiro.
IEEE Transactions on Automatic Control (submitted), 2017
13*2017
Prediction-correction methods for time-varying convex optimization
A Simonetto, A Koppel, A Mokhtari, G Leus, A Ribeiro
Proceedings of the Asilomar Conference on Signals, Systems, and Computers …, 2015
132015
Target Tracking with Dynamic Convex Optimization
A Koppel, A Simonetto, A Mokhtari, G Leus, A Ribeiro
Global Conference on Signal and Information Processing (GlobalSIP), 2015
122015
Large-scale nonconvex stochastic optimization by doubly stochastic successive convex approximation
A Mokhtari, A Koppel, G Scutari, A Ribeiro
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
102017
Global convergence of policy gradient methods to (almost) locally optimal policies
K Zhang, A Koppel, H Zhu, T Başar
arXiv preprint arXiv:1906.08383, 2019
72019
Beyond consensus and synchrony in online network optimization via saddle point method
AS Bedi, A Koppel, K Rajawat
arXiv preprint arXiv:1707.05816, 2017
7*2017
Task-Driven Dictionary Learning in Distributed Online Settings
A Koppel, G Warnell, E Stump
Proceedings of the Asilomar Conference on Signals, Systems, and Computers …, 2015
72015
Nonparametric compositional stochastic optimization
AS Bedi, A Koppel, K Rajawat
arXiv preprint arXiv:1902.06011, 2019
62019
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