Parascandolo, G., Kilbertus, N., Rojas-Carulla, M., Schölkopf, B. Learning Independent Causal Mechanisms Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4033-4041, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, 2018 (conference)

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Rojas-Carulla, M., Schölkopf, B., Turner, R., Peters, J. Invariant Models for Causal Transfer Learning Journal of Machine Learning Research, 2018 (article) Accepted

[BibTex]

Rojas-Carulla, M., Baroni, M., Lopez-Paz, D. Causal Discovery Using Proxy Variables Workshop at 6th International Conference on Learning Representations (ICLR), 2018 (conference)

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Parascandolo, G., Rojas-Carulla, M., Kilbertus, N., Schölkopf, B. Learning Independent Causal Mechanisms Workshop: Learning Disentangled Representations: from Perception to Control at the 31st Conference on Neural Information Processing Systems (NIPS), Curran Associates, Inc., Advances in Neural Information Processing Systems 30 (NIPS), December 2017 (conference)

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Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., Schölkopf, B. Avoiding Discrimination through Causal Reasoning Proceedings from the conference "Neural Information Processing Systems 2017., pages: 656-666, (Editors: Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.), Curran Associates, Inc., Advances in Neural Information Processing Systems 30 (NIPS), December 2017 (conference)

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Bauer*, M., Rojas-Carulla*, M., Świątkowski, J. B., Schölkopf, B., Turner, R. E. Discriminative k-shot learning using probabilistic models Second Workshop on Bayesian Deep Learning at the 31st Conference on Neural Information Processing Systems (NIPS) , 2017, *equal contribution (conference)

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