113 citations · 229 across the 15 of their papers we have counts for
Showing 2013Show all
3 papers · 1 filter
stat.ML2013★ 11 cited
AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods
Robert M. Freund, Paul Grigas, Rahul Mazumder
Boosting methods are highly popular and effective supervised learning methods which combine weak learners into a single accurate model with good statistical performance. In this pa…
math.OC2013★ 19 cited
Fabrication-Adaptive Optimization, with an Application to Photonic Crystal Design
Han Men, Robert M. Freund, Ngoc C. Nguyen +2
It is often the case that the computed optimal solution of an optimization problem cannot be implemented directly, irrespective of data accuracy, due to either (i) technological li…
math.OC2013★ 6 cited
New Analysis and Results for the Frank-Wolfe Method
Robert M. Freund, Paul Grigas
We present new results for the Frank-Wolfe method (also known as the conditional gradient method). We derive computational guarantees for arbitrary step-size sequences, which are t…