Empirical Bernstein Boosting

By Pannagadatta K. Shivaswamy, Tony Jebara. 2010

19 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. John C. Duchi
2. Hongseok Namkoong
3. Percy Liang
4. Tony Jebara
5. Pannagadatta K. Shivaswamy
6. Yoshua Bengio
7. Sergey Levine
8. Dacheng Tao

Citations in the corpus

• Variance-based Regularization with Convex Objectives (2016, background): “h many of our results build. In their setting, however—as they carefully note—it is unclear how to actually solve the variance-regularized problem, as it is generally nonconvex. Shivaswamy and Jebara [41, 42] build on this and develop an elegant approach for boosting 4 binary classifiers based on a v”
• Variance Penalizing AdaBoost (2011, methodology): “With the above loss, it was shown by [10] that sample variance penalization is equivalent to minimizing the following cost, n ”