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2018


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Minimum Information Exchange in Distributed Systems

Solowjow, F., Mehrjou, A., Schölkopf, B., Trimpe, S.

57th IEEE Conference on Decision and Control (CDC), December 2018 (conference) Submitted

arXiv [BibTex]

2018

arXiv [BibTex]


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Group invariance principles for causal generative models

Besserve, M., Shajarisales, N., Schölkopf, B., Janzing, D.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), 84, pages: 557-565, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, 2018 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Wasserstein Auto-Encoders

Tolstikhin, I., Bousquet, O., Gelly, S., Schölkopf, B.

6th International Conference on Learning Representations (ICLR 2018), 2018 (conference) Accepted

link (url) [BibTex]

link (url) [BibTex]


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Impact of the AIF Recording Method on Kinetic Parameters in Small Animal PET

Napieczynska, H., Kolb, A., Katiyar, P., Tonietto, M., Ud-Dean, M., Stumm, R., Herfert, K., Calaminus, C., Pichler, B.

Journal of Nuclear Medicine, 2018 (article)

DOI [BibTex]

DOI [BibTex]


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A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Yurtsever, A., Fercoq, O., Locatello, F., Cevher, V.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Fidelity-Weighted Learning

Dehghani, M., Mehrjou, A., Gouws, S., Kamps, J., Schölkopf, B.

6th International Conference on Learning Representations (ICLR 2018), 2018 (conference) Accepted

link (url) [BibTex]

link (url) [BibTex]


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Learning Causality and Causality-Related Learning: Some Recent Progress

Zhang, K., Schölkopf, B., Spirtes, P., Glymour, C.

National Science Review, 5(1):26-29, 2018 (article)

DOI [BibTex]

DOI [BibTex]


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Boosting Variational Inference: an Optimization Perspective

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, 2018 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Online optimal trajectory generation for robot table tennis

Koc, O., Maeda, G., Peters, J.

Robotics and Autonomous Systems, 105, pages: 121-137, 2018 (article)

link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Detecting non-causal artifacts in multivariate linear regression models

Janzing, D., Schölkopf, B.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Blind Justice: Fairness with Encrypted Sensitive Attributes

Kilbertus, N., Gascon, A., Kusner, M., Veale, M., Gummadi, K., Weller, A.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Learning-based solution to phase error correction in T2*-weighted GRE scans

Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.

1st International conference on Medical Imaging with Deep Learning (MIDL), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Frame-Recurrent Video Super-Resolution

Sajjadi, M. S. M., Vemulapalli, R., Brown, M.

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) , 2018 (conference) Accepted

ArXiv [BibTex]

ArXiv [BibTex]


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Autofocusing-based phase correction

Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.

Magnetic Resonance in Medicine, 2018, Epub ahead (article)

DOI [BibTex]

DOI [BibTex]


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Temporal Difference Models: Model-Free Deep RL for Model-Based Control

Pong*, V., Gu*, S., Dalal, M., Levine, S.

6th International Conference on Learning Representations (ICLR 2018), 2018, *equal contribution (conference) Accepted

link (url) [BibTex]

link (url) [BibTex]


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Tempered Adversarial Networks

Sajjadi, M. S. M., Schölkopf, B.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

ArXiv [BibTex]

ArXiv [BibTex]


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PET/MRI Hybrid Systems

Mannheim, G. J., Schmid, A. M., Schwenck, J., Katiyar, P., Herfert, K., Pichler, B. J., Disselhorst, J. A.

Seminars in Nuclear Medicine, 2018 (article) In press

DOI [BibTex]

DOI [BibTex]


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Learning Independent Causal Mechanisms

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

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

Parmas, P., Doya, K., Rasmussen, C., Peters, J.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning

Eysenbach, B., Gu, S., Ibarz, J., Levine, S.

6th International Conference on Learning Representations (ICLR 2018), 2018 (conference) Accepted

Videos link (url) [BibTex]

Videos link (url) [BibTex]


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Generalized Score Functions for Causal Discovery

Huang, B., Zhang, K., Lin, Y., Schölkopf, B., C., G.

Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Prediction of Glucose Tolerance without an Oral Glucose Tolerance Test

Babbar, R., Heni, M., Peter, A., Hrabě de Angelis, M., Häring, H., Fritsche, A., Preissl, H., Schölkopf, B., Wagner, R.

Frontiers in Endocrinology, 9, pages: 82, 2018 (article)

DOI [BibTex]

DOI [BibTex]


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Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation

Kim, J., Tabibian, B., Oh, A., Schölkopf, B., Gomez Rodriguez, M.

Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), pages: 324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, 2018 (conference)

DOI [BibTex]

DOI [BibTex]


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Assessing Generative Models via Precision and Recall

Sajjadi, M. S. M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S.

2018 (misc) Submitted

arXiv [BibTex]

arXiv [BibTex]


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Cause-Effect Inference by Comparing Regression Errors

Blöbaum, P., Janzing, D., Washio, T., Shimizu, S., Schölkopf, B.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) , 84, pages: 900-909, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, 2018 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Automatic Estimation of Modulation Transfer Functions

Bauer, M., Volchkov, V., Hirsch, M., Schölkopf, B.

International Conference on Computational Photography (ICCP 2018), 2018 (conference) Accepted

Project Page [BibTex]

Project Page [BibTex]


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Revisiting First-Order Convex Optimization Over Linear Spaces

Locatello, F., Raj, A., Praneeth Karimireddy, S., Rätsch, G., Schölkopf, B., Stich, S. U., Jaggi, M.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Differentially Private Database Release via Kernel Mean Embeddings

Balog, M., Tolstikhin, I., Schölkopf, B.

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Discriminative Transfer Learning for General Image Restoration

Xiao, L., Heide, F., Heidrich, W., Schölkopf, B., Hirsch, M.

IEEE Transactions on Image Processing, 27(8):4091-4104, 2018 (article)

DOI [BibTex]

DOI [BibTex]