Nutini, Julie

5 publications

JMLR 2022 Let's Make Block Coordinate Descent Converge Faster: Faster Greedy Rules, Message-Passing, Active-Set Complexity, and Superlinear Convergence Julie Nutini, Issam Laradji, Mark Schmidt

AISTATS 2019 Are We There yet? Manifold Identification of Gradient-Related Proximal Methods Yifan Sun, Halyun Jeong, Julie Nutini, Mark Schmidt

UAI 2016 Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph Julie Nutini, Behrooz Sepehry, Issam H. Laradji, Mark Schmidt, Hoyt A. Koepke, Alim Virani

ECML-PKDD 2016 Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi, Julie Nutini, Mark Schmidt

ICML 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule than Random Selection Julie Nutini, Mark Schmidt, Issam Laradji, Michael Friedlander, Hoyt Koepke