Robert Freund is the Theresa Seley Professor in Management Science at the MIT Sloan School of Management. He conducts research in large-scale optimization – both applied and theoretical – as well as related mathematical systems. Freund teaches MBA courses in business analytics and quantitative methods, as well as advanced courses in  optimization theory. Freund is the co-author, along with Dimitris Bertsimas, of the MBA textbook Data, Models, and Decisions: the Fundamentals of Management Science. Bio and CV can be found here.

Robert Freund, Professor in Management Science

Three Recent Papers

"Relatively-Smooth Convex Optimization by First-Order Methods, and Applications," Lu, Haihao, Robert M. Freund, and Yurii Nesterov, SIAM Journal on Optimization (2018), vol. 28 (1), pp. 333-354.

"An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion." Freund, Robert M., Paul Grigas, and Rahul Mazumder. SIAM Journal on Optimization (2017), 1. pp 319-346

"New Computational Guarantees for Solving Convex Optimization Problems with First Order Methods, via a Function Growth Condition Measure." Freund, Robert M., and Haihao Lu., forthcoming in Mathematical Programming.


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