A new nested multi-time-scale stochastic approximation method eliminates ratio-induced bias in likelihood-free parameter ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.