Computation and Data

Along with applications in Energy and Health, our group develops algorithms to speed up computation of optimization and machine learning algorithms.

The primary algorithms are for bi-level optimization problems, equilibrium in binary variables, and optimization problems under uncertainty. We also extend these to improve computation in machine learning and multi objective optimization.

Optimization with Equilibrium Constraints

Robust Optimization

Multiobjective Optimization

Integer Optimization and Equilibrium

Data Mining and Machine Learning