I am a fourth year student in the Cambridge-Tübingen PhD program, supervised by Richard Turner and Bernhard Schölkopf. I have worked primarily on topics of transfer learning, particularly on how causality can provide a language for distribution shift. These days I am working on deep learning methods for biological data.
Rojas-Carulla, M.
Learning Transferable Representations
University of Cambridge, UK, 2019 (phdthesis)
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, July 2018 (conference)
Rojas-Carulla, M., Baroni, M., Lopez-Paz, D.
Causal Discovery Using Proxy Variables
Workshop at 6th International Conference on Learning Representations (ICLR), May 2018 (conference)
Rojas-Carulla, M., Schölkopf, B., Turner, R., Peters, J.
Invariant Models for Causal Transfer Learning
Journal of Machine Learning Research, 19(36):1-34, 2018 (article)
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, December 2017 (conference)
Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., Schölkopf, B.
Avoiding Discrimination through Causal Reasoning
Advances in Neural Information Processing Systems 30, 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., 31st Annual Conference on Neural Information Processing Systems, December 2017 (conference)
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 , December 2017, *equal contribution (conference)
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