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Kusner, Matt J.

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Kusner, Matt J.

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Article de revue (1) Communication de conférence (15) Livre Chapitre de livre Brevet Rapport Thèse Ensemble de données Ressource pédagogique Image Enregistrement audio Enregistrement vidéo Autre

Matthew Joseph Kusner (16)

2024 (1)
- Gopakumar, V., Pamela, S., Zanisi, L., Li, Z., Gray, A., Brennand, D., Bhatia, N., Stathopoulos, G., Kusner, M. J., Deisenroth, M. P., & Anandkumar, A. (2024). Plasma surrogate modelling using Fourier neural operators. Nuclear Fusion, 64(5), 056025 (36 pages).
2023 (2)
- 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.
- 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.
2022 (1)
- Kaddour, J., Liu, L., Silva, R., & Kusner, M. J. (novembre 2022). When Do Flat Minima Optimizers Work? [Communication écrite]. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, Louisiana (19 pages).
2021 (3)
- 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).
- 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).
- 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.
2020 (2)
- Kilbertus, N., Kusner, M. J., & Silva, R. (décembre 2020). A class of algorithms for general instrumental variable models [Communication écrite]. 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada.
- Gultchin, L., Kusner, M. J., Kanade, V., & Silva, R. (août 2020). Differentiable causal backdoor discovery [Communication écrite]. 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020). Publié dans Proceedings of Machine Learning Research, 108.
2019 (3)
- Bradshaw, J., Paige, B., Kusner, M. J., Segler, M. H. S., & Hernández-Lobato, J. M. (décembre 2019). A model to search for synthesizable molecules [Communication écrite]. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada.
- Agrawal, N., Shamsabadi, A. S., Kusner, M. J., & Gascón, A. (novembre 2019). QUOTIENT: two-party secure neural network training and prediction [Communication écrite]. ACM SIGSAC Conference on Computer and Communications Security (CCS 2019), London, United Kingdom.
- Kilbertus, N., Ball, P. J., Kusner, M. J., Weller, A., & Silva, R. (juillet 2019). The Sensitivity of Counterfactual Fairness to Unmeasured Confounding [Communication écrite]. 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, Israel. Publié dans Proceedings of Machine Learning Research, 115.
2018 (1)
- Kilbertus, N., Gascón, A., Kusner, M. J., Veale, M., Gummadi, K. P., & Weller, A. (juillet 2018). Blind justice: fairness with encrypted sensitive attributes [Communication écrite]. 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden. Publié dans Proceedings of Machine Learning Research, 80.
2017 (1)
- Kusner, M. J., Loftus, J., Russell, C., & Silva, R. (décembre 2017). Counterfactual fairness [Communication écrite]. 31st Annual Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA.
2016 (1)
- Huang, G., Guo, C., Kusner, M. J., Sun, Y., Weinberger, K. Q., & Sha, F. (décembre 2016). Supervised word mover's distance [Communication écrite]. 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain.
2014 (1)
- Gardner, J. R., Kusner, M. J., Xu, Z., Weinberger, K. Q., & Cunningham, J. P. (juin 2014). Bayesian optimization with inequality constraints [Communication écrite]. 31st International Conference on Machine Learning (ICML 2014), Beijing, China. Publié dans Proceedings of Machine Learning Research, 32(2).

Répertoire des expertises

Kusner, Matt J.

Répertoire des expertises

Kusner, Matt J.

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Matthew Joseph Kusner (16)