1 citations · 1 across the 2 of their papers we have counts for
3 papers
The Many Faces of Optimal Weak-to-Strong Learning
Mikael Møller Høgsgaard, Kasper Green Larsen, Markus Engelund Mathiasen
Boosting is an extremely successful idea, allowing one to combine multiple low accuracy classifiers into a much more accurate voting classifier. In this work, we present a new and…
The Fast Johnson-Lindenstrauss Transform is Even Faster
Ora Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen
The seminal Fast Johnson-Lindenstrauss (Fast JL) transform by Ailon and Chazelle (SICOMP'09) embeds a set of points in -dimensional Euclidean space into optimal $k=O(\vareps…
Compression Implies Generalization
Allan Grønlund, Mikael Høgsgaard, Lior Kamma +1
Explaining the surprising generalization performance of deep neural networks is an active and important line of research in theoretical machine learning. Influential work by Arora…