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stat.ML2026
Deciding When to Decide: Testing Operational Suboptimality Under Distributional Shift
Minxing Zheng, Holly Wiberg, Shixiang Zhu
Deployed decisions are often optimized once and retained because updates impose operational, regulatory, or switching costs. As operating conditions change, when should such decisi…
stat.ML2018
Interpretable Clustering via Optimal Trees
Dimitris Bertsimas, Agni Orfanoudaki, Holly Wiberg
State-of-the-art clustering algorithms use heuristics to partition the feature space and provide little insight into the rationale for cluster membership, limiting their interpreta…