8 citations · 13 across the 4 of their papers we have counts for
Showing 2019 · math.OCShow all
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math.OC2019
Anderson Acceleration of Proximal Gradient Methods
Vien V. Mai, Mikael Johansson
Anderson acceleration is a well-established and simple technique for speeding up fixed-point computations with countless applications. Previous studies of Anderson acceleration in…
math.OC2019★ 4 cited
Noisy Accelerated Power Method for Eigenproblems with Applications
Vien V. Mai, Mikael Johansson
This paper introduces an efficient algorithm for finding the dominant generalized eigenvectors of a pair of symmetric matrices. Combining tools from approximation theory and convex…
math.OC2019
Curvature-Exploiting Acceleration of Elastic Net Computations
Vien V. Mai, Mikael Johansson
This paper introduces an efficient second-order method for solving the elastic net problem. Its key innovation is a computationally efficient technique for injecting curvature info…