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Improving reproducibility in machine learning research: a report from the NeurIPS 2019 reproducibility program

, , , , , , , and . Journal of Machine Learning Research, (2021)

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Clustering with faulty centers., , and . Comput. Geom., (February 2024)Improving reproducibility in machine learning research: a report from the NeurIPS 2019 reproducibility program, , , , , , , and . Journal of Machine Learning Research, (2021)A deterministic near-linear time approximation scheme for geometric transportation., and . FOCS, page 1301-1315. IEEE, (2023)Fréchet Edit Distance., , , and . CoRR, (2024)Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program), , , , , , , and . (2020)cite arxiv:2003.12206Comment: To appear at JMLR, 16 pages + Appendix.The virtual COVID-19 classroom: surveying outcomes, individual differences, and technology use in college students., , , and . Smart Learn. Environ., 8 (1): 27 (2021)A simple deterministic near-linear time approximation scheme for transshipment with arbitrary positive edge costs.. CoRR, (2023)Streaming Variational Inference for Bayesian Nonparametric Mixture Models., , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Approximate Collapsed Gibbs Clustering with Expectation Propagation., and . CoRR, (2018)Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program)., , , , , , , and . J. Mach. Learn. Res., (2021)