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I want to propose a new privacy mechanism to IPA that:
- Serves to help solve the _optimization_ use-case
- Does so under the existing differential privacy constraints of IPA as I understand them
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Regardless of computaion, do KAN at present able perform continual learning on 2D input data (or its flattened 1d vector features)? if not what is the main challenge KAN have with it?
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**Problem**
In our understanding of Turtledove we believe it only supports 2 types of advertising: Retargeting and contextual. This will incentivize advertisers to follow one of the following strateg…
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Hi, great work this is exciting.
I have some questions regarding the diffusion model.
1)i noticed that step_i is not used in noising or denoising, as done in standard diffusion models. So usually,…
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I'm using the latest version of eleanor with Python 3.7.
One of my s13 PSF light curves has this weird issue where the two segments look very different. This is NOT the case for the PCA light curve. …
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Hey! I just saw your paper and I was curious if you compared this to Explainable Boosting Machines.
From what I can see from your description, you're using SHAP with bagging on XGBoost models. The EB…
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Note: the issue was created automatically with bugzilla2github tool
Original bug ID: BZ#14
From: @cxbrooks
Reported version: 6.0.1
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Can I apply this package to SPLitSeq output from https://github.com/yjzhang/split-seq-pipeline/tree/master?
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Pose a question about one of the following articles:
[“Machine Learning as a Tool for Hypothesis Generation”](https://doi.org/10.1093/qje/qjad055), Jens Ludwig, Sendhil Mullainathan. The Quarterly…
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Since I don't have a GPU on my computer, I need to convert the workflow into Python code and run it on Colab. However, when I run the code multiple times to generate images, I run into issues with run…