Context and Background for Smart Predict Then Optimize
This page collects practical notes, background details, and recent references for Smart Predict Then Optimize.
- In the
- Adam Wierman, California Institute of Technology https://simons.berkeley.edu/talks/adam-wierman-2016-11-18 Learning, ...
- Big data provides new opportunities to tackle one of the main difficulties in decision-making systems – uncertain behavior ...
- Full title: "
- Optimisation
Background Signals
Link to paper: https://arxiv.org/abs/1710.08005 Authors: Adam N. Elmachtoub and Paul Grigas. ... question uh so basically you come with a methodology that is doing so this 00:00 - The ML-OR Disconnect 06:20 - Scenario Planning 15:03 - Learning Surrogate Loss Functions for Predict Then Optimize Problems
Optimisation
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