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Regression as Classification: Influence of Task Formulation on Neural Network Features

Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, Valencia, Spain. PMLR: Volume 206. Copyright 2023 by the author(s)

Link to paper on ArXiV

Authors:

Lawrence Stewart (Ecole Normale Superieure and INRIA), Francis Bach (Ecole Normale Superieure and INRIA), Quentin Berthet (Google Brain), Jean-Philippe Vert (Google Brain).

Licence:

This code is distributed under a BSD-3 Licence.

Contents:

  • requirements.txt: Lists all dependencies.
  • reparamfeats.py: Creates Figure 2 from the paper.
  • optimalsupports.py: Creates Figure 3 from the paper.
  • Rregmst.py: Creates Figure 4 from the paper.
  • train.py : Trains models on the synthetic 1D regression problem, detailed in Section 6.
  • pooltasks.py: Trains 30 random initializations and produces the results detailed in Section 6.
  • implbias2D.py: Experiment detailed in Section 7.
  • rmseplot.py: Generates Figure 5 (provided all runs are saved in experiments folder).

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Code for paper: Regression as Classification: Influence of Task Formulation on Neural Network Features

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