Mateo Rojas-Carulla

Ph.D. Student

Empirical Inference

Office: N4.009
Max-Planck-Ring 4
72076 Tübingen
Germany

+49 7071 601 1839

+49 7071 601 552

https://sites.google.com/view/mr...

Overview
Publications

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.

6 results (View BibTeX file of all listed publications)

2018

Learning Independent Causal Mechanisms

Parascandolo, G., Kilbertus, N., Rojas-Carulla, M., Schölkopf, B.

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)

link (url) [BibTex]

2018

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)

link (url) [BibTex]

Causal Discovery Using Proxy Variables

Rojas-Carulla, M., Baroni, M., Lopez-Paz, D.

Workshop at 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

link (url) [BibTex]

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)

link (url) [BibTex]

Invariant Models for Causal Transfer Learning

Rojas-Carulla, M., Schölkopf, B., Turner, R., Peters, J.

Journal of Machine Learning Research, 19(36):1-34, 2018 (article)

link (url) [BibTex]

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)

link (url) [BibTex]

2017

Learning Independent Causal Mechanisms

Parascandolo, G., Rojas-Carulla, M., Kilbertus, N., Schölkopf, B.

Workshop: Learning Disentangled Representations: from Perception to Control at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

link (url) [BibTex]

2017

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)

link (url) [BibTex]

Avoiding Discrimination through Causal Reasoning

Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., Schölkopf, B.

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)

link (url) [BibTex]

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)

link (url) [BibTex]

Discriminative k-shot learning using probabilistic models

Bauer*, M., Rojas-Carulla*, M., Świątkowski, J. B., Schölkopf, B., Turner, R. E.

Second Workshop on Bayesian Deep Learning at the 31st Conference on Neural Information Processing Systems , December 2017, *equal contribution (conference)

link (url) [BibTex]

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)

link (url) [BibTex]