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Right now `MetricFrame` only works with metrics with the signature `metric(y_true, y_pred)`, but its disaggregation functionality should be much more broadly applicable. Two use cases of interest:
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Hi everyone,
https://github.com/facebookresearch/Pearl/blob/main/pearl/utils/scripts/cb_benchmark/run_cb_benchmarks.py#L72
here it specifically states that the data has been collected by acting …
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I saw #86 and how it was marked as "closed" by a developer after suggesting we access a private field of the MAB class in order to get the rewards of e.g. EpsilonGreedy rewards, because the original m…
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User and item properties may change over time.
How should I prepare the dataframe while giving it to the model?
Because the userid will still be the same
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Aim: this would enable experiments with contextual bandits to show that adaptive evolution is better than non-adaptive on real tasks.
There're 2 variants that can be tried:
- Encoder with manual c…
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Fill in the YAML below and add your abstract below
---
title: "Bayesian Ensembling for Contextual Bandit Models"
author: "Joseph Lawson"
date: "Oct 23, 2023"
---
## Abstract
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Hello, everyone!
First of all, congratulations (and thank you!) for putting this amount of work in a package that is not only easy to use, but also extremely efficient. This here is probably what w…
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Hi!
We're using your implementation of MAB in our project and it's a great pleasure! However, I'd like to ask: is there a possibility to save the current state of MAB at any time? For example, it w…
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Hello! I'm new to contextual bandits problem so I apologize if my questions would seem silly to you, but I've been looking into contextual bandits implementation in VW for a while, and one of the main…