Independence clustering (without a matrix)

Authors: Daniil Ryabko

NeurIPS 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The main results of this work are theoretical. The goal is to determine, as a first step, what is possible and what is not from both statistical and computational points of view. The main emphasis is placed on highly dependent time series, as warranted by the applications cited above, leaving experimental investigations for future work.
Researcher Affiliation Academia Daniil Ryabko INRIA Lillle, 40 avenue de Halley, Villeneuve d Ascq, France daniil@ryabko.net
Pseudocode Yes Figure 1: CLIN: cluster with k unknown, given an oracle for MI; Figure 2: CLINk: cluster given k and an estimator of mutual sum-information
Open Source Code No The paper is theoretical and does not mention any release of source code or provide links to a code repository for its described methodology.
Open Datasets No The paper is theoretical and explicitly states "leaving experimental investigations for future work." It discusses samples in a theoretical context but does not use or provide access to any public datasets for empirical evaluation.
Dataset Splits No The paper is theoretical and states "leaving experimental investigations for future work." It does not describe any experiments or data splits for validation.
Hardware Specification No The paper is theoretical and explicitly states "leaving experimental investigations for future work." It does not describe any experiments, and therefore no hardware specifications are mentioned.
Software Dependencies No The paper is theoretical and explicitly states "leaving experimental investigations for future work." It does not describe any experiments, and therefore no specific software dependencies with version numbers are listed.
Experiment Setup No The paper is theoretical and explicitly states "leaving experimental investigations for future work." It does not describe any empirical experiments, and thus no experimental setup details or hyperparameters are provided.