2019


  • Convex and Non-convex Approaches for Statistical Inference with Noisy Labels .
    Hyebin Song, Ran Dai, Garvesh Raskutti, Rina Foygel Barber. arXiv:1910.02348

  • With Malice Towards None: Assessing Uncertainty via Equalized Coverage.
    Yaniv Romano, Rina Foygel Barber, Chiara Sabatti, Emmanuel J. Candès. arXiv:1908.05428

  • The bias of isotonic regression. (Code.)
    Ran Dai, Hyebin Song, Rina Foygel Barber, and Garvesh Raskutti. arXiv:1908.04462

  • Predictive inference with the jackknife+. (Code.)
    Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. arXiv:1905.02928

  • Conformal prediction under covariate shift. (Code.)
    Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. To appear in 33rd Annual Conference on Neural Information Processing Systems (NeurIPS 2019). arXiv:1904.06019

  • The limits of distribution-free conditional predictive inference.
    Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan Tibshirani. arXiv:1903.04684

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