Estimation of the Lipschitz constant of a function

By G. Wood, B. Zhang. 1996

How researchers see this paper

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

1. Huan Zhang
2. Tsui-Wei Weng
3. Pin-Yu Chen
4. Cho-Jui Hsieh
5. Dong Su
6. Jinfeng Yi
7. Luca Daniel
8. Yupeng Gao

Citations in the corpus

• Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach (2018, methodology): “For Inception-v3, the condition of strict lower bound Wood & Zhang (1996).”
• Global optimization of expensive black box functions using potential Lipschitz constants and response surfaces (2015, methodology): “Some researchers [9–11] proposed several methods for estimating the Lipschitz constant.”
• Avoiding Resentment Via Monotonic Fairness (2019, methodology): “We adopt a sample-based estimator similar to that of [41], which uses a pairwise evaluation of the constant,”