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Reza Eghbali
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Designing smoothing functions for improved worst-case competitive ratio in online optimization
R Eghbali, M Fazel
Advances in Neural Information Processing Systems 29, 2016
362016
Exponentiated subgradient algorithm for online optimization under the random permutation model
R Eghbali, J Swenson, M Fazel
arXiv preprint arXiv:1410.7171, 2014
122014
Iterative method with adaptive thresholding for sparse signal reconstruction
R Eghbali, A Kazerooni, A Rashidinejad, F Marvasti
International Workshop on Sampling Theory and Applications (SampTA), Singapore, 2011
122011
Competitive online algorithms for resource allocation over the positive semidefinite cone
R Eghbali, J Saunderson, M Fazel
Mathematical Programming 170, 267-292, 2018
82018
Decomposable norm minimization with proximal-gradient homotopy algorithm
R Eghbali, M Fazel
Computational Optimization and Applications 66 (2), 345-381, 2017
62017
Worst case competitive analysis for online conic optimization
R Eghbali, M Fazel, M Mesbahi
2016 IEEE 55th Conference on Decision and Control (CDC), 1945-1950, 2016
52016
Worst case competitive analysis of online algorithms for conic optimization
R Eghbali, M Fazel
arXiv preprint arXiv:1611.00507, 2016
42016
Competitive algorithms for online budget-constrained continuous dr-submodular problems
O Sadeghi, R Eghbali, M Fazel
arXiv preprint arXiv:1907.00312, 2019
22019
Online algorithm design via smoothing with application to online experiment selection
R Eghbali
12017
Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs
E Gösche, R Eghbali, F Knoll, AM Rauschecker
International Workshop on Machine Learning in Medical Imaging, 310-319, 2024
2024
Black-Box Acceleration of Monotone Convex Program Solvers
P London, S Vardi, R Eghbali, A Wierman
Operations Research 72 (2), 796-815, 2024
2024
Control of a Non Observable Double Inverted Pendulum Using a Novel Active Learning Method Based State Estimator
AG Samani, SB Shouraki, R Eghbali, MG Rostami
2010 Fourth UKSim European Symposium on Computer Modeling and Simulation, 21-26, 2010
2010
Learning the Feedback Connections from V1 to LGN via Information Maximization
R Eghbali, F Sommer, M Sherman
NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 0
Online Algorithms for Budget-Constrained DR-Submodular Maximization
O Sadeghi, R Eghbali, M Fazel
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