Documents publiés en "2021"

A

Agrawal, N., Bell, J., Gascón, A., & Kusner, M. J. (novembre 2021). MPC-friendly commitments for publicly verifiable covert security [Communication écrite]. ACM SIGSAC Conference on Computer and Communications Security (CCS 2021). Lien externe

G

Gultchin, L., Watson, D. S., Kusner, M. J., & Silva, R. (juillet 2021). Operationalizing complex causes: a pragmatic view of mediation [Communication écrite]. 38th International Conference on Machine Learning (ICML 2021). Publié dans Proceedings of Machine Learning Research, 139. Lien externe

K

Kaddour, J., Zhu, Y., Liu, Q., Kusner, M. J., & Silva, R. (décembre 2021). Causal effect inference for structured treatments [Communication écrite]. 35th Annual Conference on Neural Information Processing Systems (NeurIPS 2021). Lien externe

L

Liu, Q., Kusner, M. J., & Blunsom, P. (juin 2021). Counterfactual Data Augmentation for Neural Machine Translation [Communication écrite]. Conference of the North-American-Chapter of the Association-for-Computational-Linguistics - Human Language Technologies (NAACL-HLT 2021). Lien externe

M

Mastouri, A., Zhu, Y., Gultchin, L., Korba, A., Silva, R., Kusner, M. J., Gretton, A., & Muandet, K. (juillet 2021). Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction [Communication écrite]. 38th International Conference on Machine Learning (ICML 2021). Publié dans Proceedings of Machine Learning Research, 139. Lien externe

W

Wang, H., Liu, Q., Yue, X., Lasenby, J., & Kusner, M. J. (octobre 2021). Unsupervised Point Cloud Pre-training via Occlusion Completion [Communication écrite]. 18th IEEE/CVF International Conference on Computer Vision (ICCV 2021), Montreal, Quebec, Canada. Lien externe

Z

Zantedeschi, V., Kusner, M. J., & Niculae, V. (juillet 2021). Learning Binary Decision Trees by Argmin Differentiation [Communication écrite]. Non spécifié. Lien externe