Vitaly Feldman (3)
- On Political Economy and Data Science: When A Discipline Is Not Enough - Nov 18, 2015.
Most non-trivial Data Science applications are interdisciplinary requiring collaboration across disciplines. We are just beginning to understand the nature of interdisciplinarity in Data Science and the risks of misunderstanding.
- Big Idea To Avoid Overfitting: Reusable Holdout to Preserve Validity in Adaptive Data Analysis - Aug 17, 2015.
Big Data makes it all too easy find spurious "patterns" in data. A new approach helps avoid overfitting by using 2 key ideas: validation should not reveal any information about the holdout data, and adding of a small amount of noise to any validation result.
- Overcoming Overfitting with the reusable holdout: Preserving validity in adaptive data analysis - Aug 12, 2015.
Misapplication of statistical data analysis is a common cause of spurious discoveries in scientific research. We demonstrate a new approach for addressing the challenges of adaptivity based on insights from privacy-preserving data analysis.