Computational complexity of learning algebraic varieties
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Publication:2221768
DOI10.1016/j.aam.2020.102100zbMath1506.13046arXiv1910.03305OpenAlexW3056277354MaRDI QIDQ2221768
Publication date: 2 February 2021
Published in: Advances in Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.03305
General nonlinear regression (62J02) Effectivity, complexity and computational aspects of algebraic geometry (14Q20) Applications of commutative algebra (e.g., to statistics, control theory, optimization, etc.) (13P25)
Uses Software
Cites Work
- Critical points via monodromy and local methods
- Chern classes and characteristic cycles of determinantal varieties
- The Euclidean distance degree of smooth complex projective varieties
- Learning algebraic varieties from samples
- Regeneration homotopies for solving systems of polynomials
- Nonlinear Dimensionality Reduction
- Understanding Machine Learning
- The elements of statistical learning. Data mining, inference, and prediction
- The Euclidean distance degree of an algebraic variety
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