Robert M. Freund
Robert M. Freund
Publications/Talks/CollaboratorsNew Online Course: Data Science and Analytics
Three Recent Papers
“The Role of Level-Set Geometry on the Performance of PDHG for Conic Linear Optimization,” with Zikai Xiong, submitted.
"Computational Guarantees for Restarted PDHG for LP based on “Limiting Error Ratios” and LP Sharpness,” with Zikai Xiong, submitted.
“Using Taylor-approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization,” with Zikai Xiong, SIAM Journal on Optimization Vol. 34, No. 3, pp. 2503—2534 (2024). [Additional Results and Extensions]
Research Interests
- Nonlinear optimization theory, applications, and computation -- current focus on algorithmic theory and practice of first-order methods
- Computational complexity of nonlinear optimization
- Interior-point methods in convex optimization
- Computational science
- Related mathematical systems
- Applied optimization in management and engineering
- Linear optimization
- Fixed-point methods