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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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Machine Learning Challenges Evaluating Predictive Uncertainty, Visual Object Classification and Recognizing Textual Entailment, , , and . (2005)Improving reproducibility in machine learning research: a report from the NeurIPS 2019 reproducibility program, , , , , , , and . Journal of Machine Learning Research, (2021)Boosting Mixture Models for Semi-supervised Learning., , and . ICANN, volume 2130 of Lecture Notes in Computer Science, page 41-48. Springer, (2001)Asymptotic performances of a constructive algorithm., and . Neural Processing Letters, 2 (2): 1-4 (1995)OKVAR-Boost: a novel boosting algorithm to infer nonlinear dynamics and interactions in gene regulatory networks., , , and . Bioinform., 29 (11): 1416-1423 (2013)Learning Output Embeddings in Structured Prediction., , , , and . CoRR, (2020)Rule Extraction with Fuzzy Neural Network., , and . Int. J. Neural Syst., 5 (1): 1-11 (1994)Anomaly component analysis., , and . CoRR, (2023)Sketch In, Sketch Out: Accelerating both Learning and Inference for Structured Prediction with Kernels., , , and . CoRR, (2023)Identifying the "right" level of explanation in a given situation., , , , , , , , and . NeHuAI@ECAI, volume 2659 of CEUR Workshop Proceedings, page 63-66. CEUR-WS.org, (2020)