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Alabdulmohsin, I., Chiou, N., D'Amour, A., Gretton, A., Koyejo, S., Kusner, M. J., Pfohl, S. R., Salaudeen, O., Schrouff, J., & Tsai, K. (avril 2023). Adapting to latent subgroup shifts via concepts and proxies [Communication écrite]. 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), Palau de Congressos, Valencia, Spain. Publié dans Proceedings of Machine Learning Research, 206. Lien externe
Kaddour, J., Key, O., Nawrot, P., Minervini, P., & Kusner, M. J. (décembre 2023). No train no gain: revisiting efficient training algorithms for transformer-based language models [Communication écrite]. 37th Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA. Lien externe
Padh, K., Zeitler, J., Watson, D. S., Kusner, M. J., Silva, R., & Kilbertus, N. (avril 2023). Stochastic Causal Programming for Bounding Treatment Effects [Communication écrite]. 2nd Conference on Causal Learning and Reasoning (CCLR 2023), Tübingen, Germany (35 pages). Publié dans Proceedings of Machine Learning Research, 213. Lien externe
