Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning ...

Bayesian optimization has emerged as a powerful tool for efficiently exploring complex, data-driven design spaces. We introduce a novel Bayesian optimization library incorporating superlevel set ...

[NICS'21] "Improving Transferability of Multi-Objective Evolutionary Neural Architecture Search by Utilizing Multiple Datasets in Network Evaluations" by Tu Do and Ngoc Hoang Luong Multi-Objective ...

3.1. Objectives for single input/output control algorithms The fundamental objective of the proposed control and optimization algorithm is to select any two nodes in the lattice (which can serve as ...

Python has become the programming language of choice for research and industry projects related to data science, machine learning, and deep learning. Since optimization is an inherent part of these ...

BEAVERTON, Ore.-- (BUSINESS WIRE)-- Gurobi Optimization, LLC, the leader in decision intelligence technology, today announced the release of OptiMods, an open-source project that provides Python ...