"Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization."

Geoffrey Negiar, Gideon Dresdner, Alicia Yi-Ting Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, and Fabian Pedregosa. In Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML) 2020, edited by Alexandre Bouchard-Côté and Samory Kpotufe. San Diego, CA: July 2020.

"Accelerated Residual Methods for the Iterative Solution of Systems of Equations."

Nguyen, Ngoc Cuong, Pablo Fernandez, Robert M. Freund, and Jaime Peraire. SIAM Journal of Scientific Computing Vol. 40, No. 5 (2018): A3157-79. Working Paper.

"New Computational Guarantees for Solving Convex Optimization Problems with First Order Methods, via a Function Growth Condition Measure."

Freund, Robert M., and Haihao Lu. Mathematical Programming Vol. 170, No. 2 (2018): 445-477.

"Accelerating Greedy Coordinate Descent Methods."

Haihao Lu, Robert M. Freund, and Vahab Morrokni. In 35th International Conference on Machine Learning (ICML) 2018, edited by Iain Murray and Shakir Mohamed. Stockholm, Sweden: July 2018. Supplementary Material.

"Relatively Smooth Convex Optimization by First-Order Methods, and Applications."

Lu, Haihao, Robert M. Freund, and Yurii Nesterov. SIAM Journal on Optimization Vol. 28, No. 1 (2018): 333-354. Working Paper.

"Condition Number Analysis of Logistic Regression, and its Implications for Standard First-Order Solution Methods."

Freund, Robert M., Paul Grigas, and Rahul Mazumder (submitted), MIT Sloan Working Paper 5536-18. Cambridge, MA: MIT Sloan School of Management, 2018.