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“Understanding Shapley Values with Venn Diagrams” by Carson L

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Contenuto fornito da LessWrong. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da LessWrong o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Someone I know, Carson Loughridge, wrote this very nice post explaining the core intuition around Shapley values (which play an important role in impact assessment and cooperative games) using Venn diagrams, and I think it's great. It might be the most intuitive explainer I've come across so far.
Incidentally, the post also won an honorable mention in 3blue1brown's Summer of Mathematical Exposition. I'm really proud of having given input on the post.
I've included the full post (with permission), as follows:
Shapley values are an extremely popular tool in both economics and explainable AI.
In this article, we use the concept of “synergy” to build intuition for why Shapley values are fair. There are four unique properties to Shapley values, and all of them can be justified visually. Let's dive in!
A figure from Bloch et al., 2021 using the Python package SHAP The Game
On a sunny summer [...]
---
Outline:
(01:07) The Game
(04:41) The Formalities
(06:17) Concluding Notes
The original text contained 2 images which were described by AI.
---
First published:
December 6th, 2024
Source:
https://www.lesswrong.com/posts/WxCtxaAznn8waRWPG/understanding-shapley-values-with-venn-diagrams
---
Narrated by TYPE III AUDIO.
---
Images from the article:
undefined
undefined
undefined
undefinedApple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
  continue reading

485 episodi

Artwork
iconCondividi
 
Manage episode 455223333 series 3364758
Contenuto fornito da LessWrong. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da LessWrong o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Someone I know, Carson Loughridge, wrote this very nice post explaining the core intuition around Shapley values (which play an important role in impact assessment and cooperative games) using Venn diagrams, and I think it's great. It might be the most intuitive explainer I've come across so far.
Incidentally, the post also won an honorable mention in 3blue1brown's Summer of Mathematical Exposition. I'm really proud of having given input on the post.
I've included the full post (with permission), as follows:
Shapley values are an extremely popular tool in both economics and explainable AI.
In this article, we use the concept of “synergy” to build intuition for why Shapley values are fair. There are four unique properties to Shapley values, and all of them can be justified visually. Let's dive in!
A figure from Bloch et al., 2021 using the Python package SHAP The Game
On a sunny summer [...]
---
Outline:
(01:07) The Game
(04:41) The Formalities
(06:17) Concluding Notes
The original text contained 2 images which were described by AI.
---
First published:
December 6th, 2024
Source:
https://www.lesswrong.com/posts/WxCtxaAznn8waRWPG/understanding-shapley-values-with-venn-diagrams
---
Narrated by TYPE III AUDIO.
---
Images from the article:
undefined
undefined
undefined
undefinedApple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
  continue reading

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