Hugging Face Trending Papers July 8, 2026

Trustworthy Machine Learning through the Lens of Combinatorial Optimization: Survey and Research Perspectives

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Modern machine learning (ML) increasingly relies on complex models whose behavior is difficult to characterize beyond empirical performance metrics. Across a wide range of tasks, including prediction, generation, and decision-making, models with similar empirical performance can exhibit markedly different properties in terms of their transparency, interpretability, robustness, fairness, privacy, and certifiability.

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