Documents publiés en "2025"

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Gopakumar, V., Gray, A., Oskarsson, J., Zanisi, L., Giles, D., Kusner, M. J., Pamela, S. J. P., & Deisenroth, M. P. (2025). Uncertainty quantification of surrogate models using conformal prediction. Machine Learning Science and Technology, 7(1), 015025 (47 pages). Lien externe

Gopakumar, V., Gray, A., Zanisi, L., Nunn, T., Giles, D., Kusner, M. J., Pamela, S., & Deisenroth, M. P. (février 2025). Calibrated Physics-Informed Uncertainty Quantification [Communication écrite]. 42nd International Conference on Machine Learning (PMLR 2025), Vancouver, BC, Canada. Lien externe

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Kaddour, J., Lynch, A., Liu, Q., Kusner, M. J., & Silva, R. (2025). Causal Machine Learning: A Survey and Open Problems [Commentaire ou lettre]. Foundations and Trends® in Optimization, 9(1-2), 1-247. Lien externe

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Richter, L., He, X., Minervini, P., & Kusner, M. J. (avril 2025). An auditing test to detect behavioral shift in language models [Communication écrite]. 13th International Conference on Learning Representations (ICLR 2025), Singapore, Singapore. Lien externe

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Zhu, Y., De Souza, D. A., Shi, Z., Yang, M., Minervini, P., Kusner, M. J., & D'Amour, A. (février 2025). When Can Proxies Improve the Sample Complexity of Preference Learning? [Communication écrite]. 42nd International Conference on Machine Learning (PMLR 2025), Vancouver, BC, Canada. Lien externe