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Escape the Over Tuning Trap

We just finished a quick "risk in optimization series." Here at Win Vector we think this is a neglected topic that can easily be adapted to improve and even save optimization projects. Our series was: Modeling Uncertainty For Better Outcomes: here we argue for adopting "expectation minus k standard deviations" as your objective function to…



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Escape the Over Tuning Trap

https://win-vector.com/2025/08/11/escape-the-over-tuning-trap

We just finished a quick "risk in optimization series." Here at Win Vector we think this is a neglected topic that can easily be adapted to improve and even save optimization projects. Our series was: Modeling Uncertainty For Better Outcomes: here we argue for adopting "expectation minus k standard deviations" as your objective function to…



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https://win-vector.com/2025/08/11/escape-the-over-tuning-trap

Escape the Over Tuning Trap

We just finished a quick "risk in optimization series." Here at Win Vector we think this is a neglected topic that can easily be adapted to improve and even save optimization projects. Our series was: Modeling Uncertainty For Better Outcomes: here we argue for adopting "expectation minus k standard deviations" as your objective function to…

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      We just finished a quick "risk in optimization series." Here at Win Vector we think this is a neglected topic that can easily be adapted to improve and even save optimization projects. Our series was: Modeling Uncertainty For Better Outcomes: here we argue for adopting "expectation minus k standard deviations" as your objective function to…

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      We just finished a quick “risk in optimization series.” Here at Win Vector we think this is a neglected topic that can easily be adapted to improve and even save optimization projects. …
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