Exploring Offline And Online Learning And Decision Making In The Predict Then Optimize Setting
Exploring Offline And Online Learning And Decision Making In The Predict Then Optimize Setting reveals several interesting facts.
- This video is #10 in the Adaptive Experimentation series presented at the 18th IEEE Conference on eScience in Salt Lake City, UT ...
- Negin Golrezaei (MIT) ...
- Link to paper: https://arxiv.org/abs/1710.08005 Authors: Adam N. Elmachtoub and Paul Grigas.
- Learning Surrogate Loss Functions for Predict Then Optimize Problems
- Reinforcement
In-Depth Information on Offline And Online Learning And Decision Making In The Predict Then Optimize Setting
In the Full title: " CPAIOR 2022 master class by Paul Grigas. Talk abstract: In the Big data provides new opportunities to tackle one of the main difficulties in
Ching-An Cheng (Microsoft Research) https://simons.berkeley.edu/talks/game-theoretic-approach-
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