42 citations · 204 across the 38 of their papers we have counts for
4 papers · 1 filter
Fast and Accurate -means++ via Rejection Sampling
Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard +2
-means++ \cite{arthur2007k} is a widely used clustering algorithm that is easy to implement, has nice theoretical guarantees and strong empirical performance. Despite its wide a…
The Primal-Dual method for Learning Augmented Algorithms
Étienne Bamas, Andreas Maggiori, Ola Svensson
The extension of classical online algorithms when provided with predictions is a new and active research area. In this paper, we extend the primal-dual method for online algorithms…
Learning Augmented Energy Minimization via Speed Scaling
Étienne Bamas, Andreas Maggiori, Lars Rohwedder +1
As power management has become a primary concern in modern data centers, computing resources are being scaled dynamically to minimize energy consumption. We initiate the study of a…
Beyond -Approximation for Submodular Maximization on Massive Data Streams
Ashkan Norouzi-Fard, Jakub Tarnawski, Slobodan Mitrović +3
Many tasks in machine learning and data mining, such as data diversification, non-parametric learning, kernel machines, clustering etc., require extracting a small but representati…