google-deepmind/agg_data_uai25

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google-deepmind/agg_data_uai25

Language: Python

License: Apache-2.0

Stars: 2

Forks: 0

Open issues: 0

Created: 2025-06-30T09:22:56Z

Pushed: 2025-06-30T09:25:20Z

Default branch: main

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README:

Aggregating Data for Optimal and Private Learning

This repository accompanies the publication

> Aggregating Data for Optimal and Private Learning. > *UAI 2025 (Main Conference Oral)*

Installation

Docker

  • (Optional, Recommended) Make a virtual environment: `cd python -m venv

.venv source .venv/bin/activate`

  • Run pip install -r requirements.txt from opt_bagging/ folder
  • Run the following: docker volume create agg

Usage

Setup:

  • Download the Wine Quality (Red and White) datasets from

here and save them as csv files: opt_bagging/data/wine_quality/winequality-{white,red}.csv

Launch:

  • Define the dataset to be use in xm_launch.py and other hyperparameters

as well.

  • To create and save cross-validation splits set save_dataloader_cv to True.
  • Run .venv/bin/xmanager launch xm_launch.py

Citing this work

@inproceedings{
agarwal2025aggregating,
title={Aggregating Data for Optimal Learning},
author={Sushant Agarwal and Yukti Makhija and Rishi Saket and Aravindan Raghuveer},
booktitle={The 41st Conference on Uncertainty in Artificial Intelligence},
year={2025},
url={https://openreview.net/forum?id=85HF0u4lSB}
}

License and disclaimer

Copyright 2025 Google LLC

All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0

All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode

Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.

This is not an official Google product.

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Notability

notability 2.0/10

Low-star repo by Deepmind, not notable