# usaito/icml2022-mips

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22 stars · 2 forks · Python · MIT

## Links

- GitHub: https://github.com/usaito/icml2022-mips
- Homepage: https://arxiv.org/abs/2202.06317
- awesome-repositories: https://awesome-repositories.com/repository/usaito-icml2022-mips.md

## Description

This repository contains the code used for the experiments in "Off-Policy Evaluation for Large Action Spaces via Embeddings (ICML2022)" by Yuta Saito and Thorsten Joachims.

## Tags

### Part of an Awesome List

- [Contextual Bandit Evaluation](https://awesome-repositories.com/f/awesome-lists/ai/contextual-bandit-evaluation.md) — Off-policy evaluation for large action spaces using embedding techniques.