Search Results for author: Tom Hess

Found 4 papers, 2 papers with code

Fast Distributed k-Means with a Small Number of Rounds

1 code implementation31 Jan 2022 Tom Hess, Ron Visbord, Sivan Sabato

Our algorithm guarantees a cost approximation factor and a number of communication rounds that depend only on the computational capacity of the coordinator.

Clustering

A Constant Approximation Algorithm for Sequential Random-Order No-Substitution k-Median Clustering

no code implementations NeurIPS 2021 Tom Hess, Michal Moshkovitz, Sivan Sabato

We give the first algorithm for this setting that obtains a constant approximation factor on the optimal risk under a random arrival order, an exponential improvement over previous work.

Clustering

Sequential no-Substitution k-Median-Clustering

1 code implementation30 May 2019 Tom Hess, Sivan Sabato

We provide an efficient algorithm for this setting, and show that its multiplicative approximation factor is twice the approximation factor of an efficient offline algorithm.

Clustering

Interactive algorithms: from pool to stream

no code implementations2 Feb 2016 Sivan Sabato, Tom Hess

We consider interactive algorithms in the pool-based setting, and in the stream-based setting.

Active Learning Binary Classification +1

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