Junqi Tang
Zitiert von
Zitiert von
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
J Tang, M Golbabaee, ME Davies
International Conference on Machine Learning, 3377-3386, 2017
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
J Tang, M Golbabaee, F Bach, M Davies
Advances in Neural Information Processing Systems, 427-438, 2018
The Practicality of Stochastic Optimization in Imaging Inverse Problems
J Tang, K Egiazarian, M Golbabaee, M Davies
IEEE Transactions on Computational Imaging 6, 1471-1485, 2020
SPRING: A fast stochastic proximal alternating method for non-smooth non-convex optimization
D Driggs, J Tang, J Liang, M Davies, CB Schönlieb
arXiv preprint arXiv:2002.12266, 2020
Structure-Adaptive Accelerated Coordinate Descent
J Tang, M Golbabaee, F Bach, M Davies
Applied Inverse Problems, 2019
Exploiting the Structure via Sketched Gradient Algorithms
J Tang, M Golbabaee, M Davies
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
The Limitation and Practical Acceleration of Stochastic Gradient Algorithms in Inverse Problems
J Tang, K Egiazarian, M Davies
ICASSP 2019 - IEEE International Conference on Acoustics, Speech and Signal …, 2019
The Neural Tangent Link Between CNN Denoisers and Non-Local Filters
J Tachella, J Tang, M Davies
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
A Fast Stochastic Plug-and-Play ADMM for Imaging Inverse Problems
J Tang, M Davies
arXiv preprint arXiv:2006.11630, 2020
Randomized structure-adaptive optimization
J Tang
The University of Edinburgh, 2019
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