Jan 6, 2019 · We introduce Algorithmic Regularization, an innovative technique for obtaining high-quality estimates of regularization paths using an iterative one-step ...

Jul 8, 2019 · Using algorithmic regularization, we make two methodological contributions related to clus- tering: first, we propose an efficient algorithm, ...

The effectiveness of algorithmic regularization is illustrated with an extended application to convex clustering, where it achieves over a 100-fold speed-up ...

clustRviz aims to enable fast computation and easy visualization of Convex Clustering solution paths. Installation. You can install clustRviz from github ...

clustRviz aims to enable fast computation and easy visualization of Convex Clustering solution paths. Note that RcppEigen (which clustRviz internally) triggers ...

62. M. Weylandt, J. Nagorski, and G. I. Allen, “Dynamic Visualization and Fast Computa- tion for Convex Clustering via Algorithmic Regularization”, Journal of ...

Dynamic visualization and fast computation for convex clustering via algorithmic regularization. M Weylandt, J Nagorski, GI Allen. Journal of Computational and ...

Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization ... Convex clustering is a promising new approach to the classical ...

Apr 27, 2021 · We propose an implementation of fast convex biclustering called COBRAC to reduce the computing time by iteratively compressing problem size along with the ...

Dynamic visualization and fast computation for convex clustering via algorithmic regularization. Journal of Com- putational and Graphical Statistics, 29(1): ...