715 citations · 1.4k across the 35 of their papers we have counts for
4 papers · 1 filter
Deep learning with Elastic Averaging SGD
Sixin Zhang, Anna Choromanska, Yann LeCun
We study the problem of stochastic optimization for deep learning in the parallel computing environment under communication constraints. A new algorithm is proposed in this setting…
Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering
Apoorv Agarwal, Anna Choromanska, Krzysztof Choromanski
In this paper, we compare three initialization schemes for the KMEANS clustering algorithm: 1) random initialization (KMEANSRAND), 2) KMEANS++, and 3) KMEANSD++. Both KMEANSRAND an…
Differentially- and non-differentially-private random decision trees
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +1
We consider supervised learning with random decision trees, where the tree construction is completely random. The method is popularly used and works well in practice despite the si…
Logarithmic Time Online Multiclass prediction
Anna Choromanska, John Langford
We study the problem of multiclass classification with an extremely large number of classes (k), with the goal of obtaining train and test time complexity logarithmic in the number…