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stat.ML2025★ 1 cited
Are machine learning interpretations reliable? A stability study on global interpretations
Luqin Gan, Tarek M. Zikry, Genevera I. Allen
As machine learning systems are increasingly used in high-stakes domains, there is a growing emphasis placed on making them interpretable to improve trust in these systems. In resp…
stat.ML2023
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Genevera I. Allen, Luqin Gan, Lili Zheng
New technologies have led to vast troves of large and complex datasets across many scientific domains and industries. People routinely use machine learning techniques to not only p…