Julie Nutini
According to our database1,
Julie Nutini
authored at least 9 papers
between 2013 and 2022.
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Bibliography
2022
Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence.
J. Mach. Learn. Res., 2022
2019
"Active-set complexity" of proximal gradient: How long does it take to find the sparsity pattern?
Optim. Lett., 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2016
Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph.
CoRR, 2016
Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2013
A derivative-free approximate gradient sampling algorithm for finite minimax problems.
Comput. Optim. Appl., 2013
Adv. Eng. Softw., 2013