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Results: 4
Number of items: 4
  • Open Access
    Jazbec, M., Timans, A., Veljković, T. H., Sakmann, K., Zhang, D., Naesseth, C. A., & Nalisnick, E. (2025). Fast yet Safe: Early-Exiting with Risk Control. In A. Globerson, L. Mackey, D. Belgrave, A. Fan, U. Paquet, J. Tomczak, & C. Zhang (Eds.), 38th Conference on Neural Information Processing Systems (NeurIPS 2024): 10-15 December 2024, Vancouver, Canada (pp. 129825-129854). (Advances in Neural Information Processing Systems; Vol. 37). Neural Information Processing Systems Foundation. https://doi.org/10.52202/079017-4124
  • Open Access
    Timans, A., Verma, R., Nalisnick, E., & Naesseth, C. A. (2025). On Continuous Monitoring of Risk Violations under Unknown Shift. Proceedings of Machine Learning Research, 286, 4204-4215. https://proceedings.mlr.press/v286/timans25a.html
  • Open Access
    Timans, A., Straehle, C.-N., Sakmann, K., Naesseth, C. A., & Nalisnick, E. (2025). Max-Rank: Efficient Multiple Testing for Conformal Prediction. Proceedings of Machine Learning Research, 258, 3898-3906. https://proceedings.mlr.press/v258/timans25a.html
  • Open Access
    Timans, A., Straehle, C.-N., Sakmann, K., & Nalisnick, E. (2025). Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024: 18th European Conference, Milan, Italy, September 29–October 4, 2024 : proceedings (Vol. LXXXVIII, pp. 363–398). (Lecture Notes in Computer Science; Vol. 15146). Springer. https://doi.org/10.1007/978-3-031-73223-2_21
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