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• Rawal, K., Kamar, E. and Lakkaraju, H., 2020, December. Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts. (under review)

  • preprint

• Rawal, K. and Lakkaraju, H., 2020, December. Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses. In Advances in Neural Information Processing Systems, 33.

  • paper
  • poster
  • video
  • slides

• Rawal, K. and Lakkaraju, H., 2020, July. Learning recourse costs from pairwise feature comparisons In International Conference on Machine Learning, ICML, Workshop on Participatory Approaches to Machine Learning

  • paper
  • code

• Rawal, K. and Khan, A., 2019, December. Maximizing Contrasting Opinions in Signed Social Networks. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 1203-1210). IEEE.

  • paper
  • code
  • slides

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