liquidSVM: A Fast and Versatile SVM package
Not on the map. Why?
Abstract (arXiv)
liquidSVM is a package written in C++ that provides SVM-type solvers for various classification and regression tasks. Because of a fully integrated hyper-parameter selection, very carefully implemented solvers, multi-threading and GPU support, and several built-in data decomposition strategies it provides unprecedented speed for small training sizes as well as for data sets of tens of millions of samples. Besides the C++ API and a command line interface, bindings to R, MATLAB, Java, Python, and Spark are available. We present a brief description of the package and report experimental comparisons to other SVM packages.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Feb 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 3; 2022: 1; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
7 papers.
- 2021Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality featurescited by 20
- 2021Learning Prediction Intervals for Regression: Generalization and Calibrationcited by 16
- 2022Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regressioncited by 11
- 2021An Exact Solver for the Weston-Watkins SVM Subproblemcited by 0
- 2023Snacks: a fast large-scale kernel SVM solvercited by 0
- 2025Bags of Projected Nearest Neighbours: Competitors to Random Forests?cited by 0
- 2026Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approachcited by 0
- 2026Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach29 May 2026
- 2025Bags of Projected Nearest Neighbours: Competitors to Random Forests?12 Mar 2025
- 2023Snacks: a fast large-scale kernel SVM solver17 Apr 2023
- 2022Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression17 Jan 2022
- 2021Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features1 Apr 2021
- 2021Learning Prediction Intervals for Regression: Generalization and Calibration26 Feb 2021
- 2021An Exact Solver for the Weston-Watkins SVM Subproblem10 Feb 2021