| Improving conditional coverage via orthogonal quantile regression S Feldman, S Bates, Y Romano Advances in neural information processing systems 34, 2060-2071, 2021 | 48 | 2021 |
| Achieving Risk Control in Online Learning Settings S Feldman, L Ringel, S Bates, Y Romano | 38* | |
| Calibrated multiple-output quantile regression with representation learning S Feldman, S Bates, Y Romano Journal of Machine Learning Research 24 (24), 1-48, 2023 | 31 | 2023 |
| Weisfeiler and leman go infinite: Spectral and combinatorial pre-colorings O Feldman, A Boyarski, S Feldman, D Kogan, A Mendelson, C Baskin arXiv preprint arXiv:2201.13410, 2022 | 17 | 2022 |
| Label noise robustness of conformal prediction BS Einbinder, S Feldman, S Bates, AN Angelopoulos, A Gendler, ... Journal of Machine Learning Research 25 (328), 1-66, 2024 | 16* | 2024 |
| Robust conformal prediction using privileged information S Feldman, Y Romano Advances in Neural Information Processing Systems 37, 117813-117852, 2025 | 2 | 2025 |
| Conformalized Survival Analysis for General Right-Censored Data H Davidov, S Feldman, G Shamai, R Kimmel, Y Romano The Thirteenth International Conference on Learning Representations, 0 | | |
