3.1k citations · 3.4k across the 10 of their papers we have counts for
4 papers · 1 filter
Structured adaptive and random spinners for fast machine learning computations
Mariusz Bojarski, Anna Choromanska, Krzysztof Choromanski +6
We consider an efficient computational framework for speeding up several machine learning algorithms with almost no loss of accuracy. The proposed framework relies on projections v…
On the boosting ability of top-down decision tree learning algorithm for multiclass classification
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski
We analyze the performance of the top-down multiclass classification algorithm for decision tree learning called LOMtree, recently proposed in the literature Choromanska and Langfo…
Binary embeddings with structured hashed projections
Anna Choromanska, Krzysztof Choromanski, Mariusz Bojarski +3
We consider the hashing mechanism for constructing binary embeddings, that involves pseudo-random projections followed by nonlinear (sign function) mappings. The pseudo-random proj…
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…