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cs.LG2025
Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models
Aniruddha Joshi, Supratik Chakraborty, S Akshay +3
Creating meaningful interpretations for black-box machine learning models involves balancing two often conflicting objectives: accuracy and explainability. Exploring the trade-off…
cs.LG2021
Synthesizing Pareto-Optimal Interpretations for Black-Box Models
Hazem Torfah, Shetal Shah, Supratik Chakraborty +2
We present a new multi-objective optimization approach for synthesizing interpretations that "explain" the behavior of black-box machine learning models. Constructing human-underst…