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Conditional variance penalties and domain shift robustness

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Publication:2051245
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DOI10.1007/s10994-020-05924-1OpenAlexW3108961219MaRDI QIDQ2051245

Nicolai Meinshausen, Christina Heinze-Deml

Publication date: 24 November 2021

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.11469

zbMATH Keywords

image classificationdistributional robustnessdataset shiftcausal modelsanti-causal predictiondomain shift


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items

Distributionally robust and generalizable inference, Unnamed Item, Stabilizing Variable Selection and Regression


Uses Software

  • TensorFlow
  • ImageNet
  • Adam
  • AlexNet


Cites Work

  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
  • Unnamed Item
  • Causal inference using invariant prediction: identification and confidence intervals
  • Sliced Inverse Regression for Dimension Reduction
  • Regularization via Mass Transportation
  • Semi-supervised Learning in Causal and Anticausal Settings
  • Robust Regression and Lasso
  • Variance-based regularization with convex objectives
  • The Probability Approach in Econometrics
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This page was last edited on 1 February 2024, at 20:46.
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