Search Results for author: Baruch Schieber

Found 2 papers, 1 papers with code

Scalable Fair Clustering

1 code implementation10 Feb 2019 Arturs Backurs, Piotr Indyk, Krzysztof Onak, Baruch Schieber, Ali Vakilian, Tal Wagner

In the fair variant of $k$-median, the points are colored, and the goal is to minimize the same average distance objective while ensuring that all clusters have an "approximately equal" number of points of each color.

Fairness

Globally Optimal Symbolic Regression

no code implementations29 Oct 2017 Vernon Austel, Sanjeeb Dash, Oktay Gunluk, Lior Horesh, Leo Liberti, Giacomo Nannicini, Baruch Schieber

In this study we introduce a new technique for symbolic regression that guarantees global optimality.

Symbolic Regression

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