Pith. sign in

REVIEW

Comparing BilevelJuMP.jl Formulations: Support Vector Regression Hyperparameter Tuning

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2305.17320 v1 pith:NAZ6PDGQ submitted 2023-05-27 math.OC

Joaquim Dias Garcia , Guilherme Bodin , Alexandre Street This is my paper · ORCID
classification math.OC
keywords bileveljumphyperparameterproblemregressionsupporttuningvectoranalysis
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
read the original abstract

In this technical report, we compare multiple reformulation techniques and solvers that can be used with the Julia package BilevelJuMP. We focus on the special case of Hyperparameter Tuning for Support Vector Regression. We describe a bilevel model for the problem in question. Then we present code for generating data and models that solve the problem. Finally, we present results and a brief analysis.

Discussion (0). Continue with ORCID to comment.

Pith tools