Why and when neural networks improve local approximation in optimization
Read the original at arxiv.org→arXiv:2608.24963v1 Announce Type: new Abstract: Published experience with neural surrogates in derivative-free optimisation is contradictory: the same family of models that cuts the evaluation count of one solver...
Original headline: "Why and When Neural Networks Improve Local Approximation in Optimization"
Coverage timeline
- Aug 27, 04:00 UTC arXiv cs.LG lead source Why and When Neural Networks Improve Local Approximation in Optimization