Why Predict Then Optimize And

00:00 - The ML-OR Disconnect 06:20 - Scenario Planning 15:03 -

Link to paper: https://arxiv.org/abs/1710.08005 Authors: Adam N. Elmachtoub and Paul Grigas.

Optimisation and

... question uh so basically you come with a methodology that is doing so this

Learning Surrogate Loss Functions for Predict Then Optimize Problems

Project Title: Data-Driven Clinician Scheduling Under Resource Uncertainty ‍⚕️ What's the Problem? Clinicians are pulled ...

Optimisation vs

We talked about: - How we make decisions with machine learning - What is decision

Yaron Singer, Harvard University https://simons.berkeley.edu/talks/yaron-singer-09-20-2016

Adaptive DNN inference with early exiting leverages the observation that some test examples can be easier to

In the

Adam Wierman, California Institute of Technology https://simons.berkeley.edu/talks/adam-wierman-2016-11-18 Learning, ...

Full title: "

Part 4 of my series on sequential decision analytics for

Big data provides new opportunities to tackle one of the main difficulties in decision-making systems – uncertain behavior ...

How the optimizer works in the NeuroShell Trader

Check out this preview of a new on-demand webinar with Ismael Zamora, CEO of Mass Spec Analytica, SL, and

For those already familiar with machine learning, this webinar will share some insights on how to better leverage the output of ...

Tony DeSimone shares seven game-changing