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04/19/2022
A Novel Fast Exact Subproblem Solver for Stochastic Quasi-Newton Cubic Regularized Optimization
In this work we describe an Adaptive Regularization using Cubics (ARC) m...
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08/14/2019
Constrained Multi-Objective Optimization for Automated Machine Learning
Automated machine learning has gained a lot of attention recently. Build...
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05/01/2019
High-Performance Support Vector Machines and Its Applications
The support vector machines (SVM) algorithm is a popular classification ...
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07/01/2018
Trust-Region Algorithms for Training Responses: Machine Learning Methods Using Indefinite Hessian Approximations
Machine learning (ML) problems are often posed as highly nonlinear and n...
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04/20/2018