Julie Nutini

According to our database1, Julie Nutini authored at least 9 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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

Are we there yet? Manifold identification of gradient-related proximal methods.
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

A survey of non-gradient optimization methods in structural engineering.
Adv. Eng. Softw., 2013


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