Preventing Failures Due to Dataset Shift: Learning Predictive Models
That Transport

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Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

11 December 2018

Adarsh Subbaswamy

Peter F. Schulam

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Papers citing "Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport"

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Title
No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging Charles Jones Daniel Coelho De Castro Fabio De Sousa Ribeiro Ozan Oktay Melissa McCradden Ben Glocker FaML CML 108 9 0 31 Jul 2023
Algorithm Fairness in AI for Medicine and Healthcare Richard J. Chen Tiffany Y. Chen Jana Lipkova Judy J. Wang Drew F. K. Williamson Ming Y. Lu S. Sahai Faisal Mahmood FaML 141 47 0 01 Oct 2021
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners E. C. Neto OOD CML 61 6 0 09 Nov 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 98 312 0 12 Oct 2020
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning Vishwali Mhasawade N. Rehman R. Chunara OOD 70 9 0 24 Aug 2019
Controlling for Confounders in Multimodal Emotion Classification via Adversarial Learning Mimansa Jaiswal Zakaria Aldeneh E. Provost 55 16 0 23 Aug 2019