Learning Reductions that Really Work
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Abstract (arXiv)
We provide a summary of the mathematical and computational techniques that have enabled learning reductions to effectively address a wide class of problems, and show that this approach to solving machine learning problems can be broadly useful.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 9 Feb 2015.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 0; 2024: 0; 2025: 2.
3 papers.
- 2025Why Language Models Hallucinatecited by 220
- 2021Designing Machine Learning Toolboxes: Concepts, Principles and Patternscited by 2
- 2025Reduction Techniques for Survival Analysiscited by 0
- 2025Why Language Models Hallucinate4 Sep 2025
- 2025Reduction Techniques for Survival Analysis7 Aug 2025
- 2021Designing Machine Learning Toolboxes: Concepts, Principles and Patterns13 Jan 2021