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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
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
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
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
