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Code repository for: Nguyen, H., Nguyen, T., & Ho, N. (2023). Demystifying Softmax Gating Function in Gaussian Mixture of Experts. NeurIPS 2023 Spotlight. The acceptance rate for spotlights and orals is 3.6%. Specifically, 67 orals and 378 spotlights were accepted out of 12343 submissions.

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Trung-TinNGUYEN/CRPE-SGaME

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CRPE-SGaME

Code repository for the following paper: Nguyen, H., Nguyen, T., & Ho, N. (2023). Demystifying Softmax Gating Function in Gaussian Mixture of Experts. NeurIPS 2023 Spotlight. https://openreview.net/forum?id=cto6jIIbMZ.

Dependencies

This code has only been tested using Python 3.9.13. Beyond the Python Standard Library, the only required packages are NumPy, Scipy and Matplotlib.

Usage

To reproduce the paper's simulation results, run these shell scripts:

source execute.sh
source execute_plots.sh

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Code repository for: Nguyen, H., Nguyen, T., & Ho, N. (2023). Demystifying Softmax Gating Function in Gaussian Mixture of Experts. NeurIPS 2023 Spotlight. The acceptance rate for spotlights and orals is 3.6%. Specifically, 67 orals and 378 spotlights were accepted out of 12343 submissions.

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