Publications and preprints

“Improving Conditional Coverage via Orthogonal Quantile Regression”

S. Feldman, S. Bates, Y. Romano. arXiv preprint, 2021.
[arXiv] [code] [bibtex]

“Testing for Outliers with Conformal p-values”

S. Bates, E. Candès, L. Lei, Y. Romano, and M. Sesia. arXiv preprint, 2021.
[arXiv] [code] [bibtex]

“Cross-validation: what does it estimate and how well does it do it?”

S. Bates, T. Hastie, and R. Tibshirani. arXiv preprint, 2021.
[arXiv] [code] [bibtex]

“Private Prediction Sets”

A. Angelopoulos, S. Bates, T. Zrnic, and M. I. Jordan. arXiv preprint, 2021.
[arXiv] [code] [bibtex]

“Distribution-Free, Risk-Controlling Prediction Sets”

S. Bates, A. Angelopoulos, L. Lei, J. Malik, and M. I. Jordan. arXiv preprint, 2021.
[arXiv] [video] [blog] [code] [bibtex]

“Uncertainty Sets for Image Classifiers using Conformal Prediction”

A. Angelopoulos, S. Bates, J. Malik, and M. I. Jordan. ICLR (spotlight), 2021.
[arXiv] [video] [blog] [code] [notebook] [bibtex]

“Controlling the False Discovery Rate in GWAS with Population Structure”

M. Sesia, S. Bates, E. Candès, J. Marchini, and C. Sabatti. bioRxiv preprint, 2020.
[bioRxiv] [results+code] [bibtex]

“Achieving Equalized Odds by Resampling Sensitive Attributes”

Y. Romano, S. Bates, and E. Candès. NeurIPS, 2020.
[arXiv] [code] [bibtex]

“Causal Inference in Genetic Trio Studies”

S. Bates, M. Sesia, C. Sabatti, and E. Candès. PNAS, 2020.
[arXiv] [journal] [video] [tutorials+code] [bibtex]
*Selected as a cover article and for invited commentary.

“Multi-resolution Localization of Causal Variants Across the Genome”

M. Sesia, E. Katsevich, S. Bates, E. Candès, and C. Sabatti. Nature Communications, 2020.
[bioRxiv] [journal] [website] [bibtex]

“Metropolized Knockoff Sampling”

S. Bates, E. J. Candès, L. Janson, and W. Wang. JASA, 2020.
[arXiv] [journal] [tutorials] [code] [bibtex]

“Log-ratio Lasso: Scalable, Sparse Estimation for Log-ratio Models”

S. Bates and R. Tibshirani. Biometrics, 2018.
[arXiv] [journal] [code] [bibtex]