Kapoor, J., Vergari, A., Gomez Rodriguez, M., Valera, I. Bayesian Nonparametric Hawkes Processes Bayesian Nonparametrics workshop at the 32nd Conference on Neural Information Processing Systems, December 2018 (conference)

PDF link (url) [BibTex]

Jitkrittum, W., Kanagawa, H., Sangkloy, P., Hays, J., Schölkopf, B., Gretton, A. Informative Features for Model Comparison Advances in Neural Information Processing Systems 31, pages: 816-827, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) Project Page [BibTex]

Ganea*, O., Becigneul*, G., Hofmann, T. Hyperbolic Neural Networks Advances in Neural Information Processing Systems 31, pages: 5350-5360, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018, *equal contribution (conference)

link (url) [BibTex]

Akrour, R., Veiga, F., Peters, J., Neuman, G. Regularizing Reinforcement Learning with State Abstraction Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018 (conference) Accepted

link (url) Project Page [BibTex]

Gondaliya, K., Peters, J., Rueckert, E. Learning to Categorize Bug Reports with LSTM Networks Proceedings of the 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), pages: 7-12, October 2018 (conference)

link (url) [BibTex]

Muratore, F., Treede, F., Gienger, M., Peters, J. Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment 2nd Annual Conference on Robot Learning (CoRL), 87, pages: 700-713, Proceedings of Machine Learning Research, PMLR, October 2018 (conference)

link (url) Project Page [BibTex]

Maeda, G., Koc, O., Morimoto, J. Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets Proceedings of The 2nd Conference on Robot Learning (CoRL), 87, pages: 630-640, (Editors: Aude Billard, Anca Dragan, Jan Peters, Jun Morimoto ), PMLR, October 2018 (conference)

link (url) Project Page [BibTex]

Akrour, R., Peters, J., Neuman, G. Constraint-Space Projection Direct Policy Search 14th European Workshop on Reinforcement Learning (EWRL), October 2018 (conference)

link (url) Project Page [BibTex]

Kim, T. H., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Spatio-temporal Transformer Network for Video Restoration 15th European Conference on Computer Vision (ECCV), Part III, 11207, pages: 111-127, Lecture Notes in Computer Science, (Editors: Vittorio Ferrari, Martial Hebert,Cristian Sminchisescu and Yair Weiss), Springer, September 2018 (conference)

DOI [BibTex]

Wieschollek, P., Gallo, O., Gu, J., Kautz, J. Separating Reflection and Transmission Images in the Wild European Conference on Computer Vision (ECCV), September 2018 (conference)

link (url) [BibTex]

Schmid, K., Belzner, L., Kiermeier, M., Neitz, A., Phan, T., Gabor, T., Linnhoff, C. Risk-Sensitivity in Simulation Based Online Planning KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, pages: 229-240, (Editors: F. Trollmann and A. Y. Turhan), Springer, Cham, September 2018 (conference)

DOI [BibTex]

Gondal, M. W., Schölkopf, B., Hirsch, M. The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), September 2018 (conference)

arXiv URL [BibTex]

Rubenstein, P. K., Bongers, S., Schölkopf, B., Mooij, J. M. From Deterministic ODEs to Dynamic Structural Causal Models Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), August 2018 (conference)

Arxiv link (url) [BibTex]

Huang, B., Zhang, K., Lin, Y., Schölkopf, B., Glymour, C. Generalized Score Functions for Causal Discovery Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages: 1551-1560, (Editors: Yike Guo and Faisal Farooq), ACM, August 2018 (conference)

link (url) DOI [BibTex]

Yurtsever, A., Fercoq, O., Locatello, F., Cevher, V. A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 5713-5722, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

Kilbertus, N., Gascon, A., Kusner, M., Veale, M., Gummadi, K., Weller, A. Blind Justice: Fairness with Encrypted Sensitive Attributes Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 2635-2644, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

Janzing, D., Schölkopf, B. Detecting non-causal artifacts in multivariate linear regression models Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 2250-2258, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) [BibTex]

Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. Learning-based solution to phase error correction in T2*-weighted GRE scans 1st International conference on Medical Imaging with Deep Learning (MIDL), July 2018 (conference)

link (url) [BibTex]

Tucker, G., Bhupatiraju, S., Gu, S., Turner, R., Ghahramani, Z., Levine, S. The Mirage of Action-Dependent Baselines in Reinforcement Learning Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 5022-5031, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

PDF link (url) Project Page [BibTex]

Besserve, M., Sun, R., Schölkopf, B. Intrinsic disentanglement: an invariance view for deep generative models Workshop on Theoretical Foundations and Applications of Deep Generative Models at ICML, July 2018 (conference)

PDF [BibTex]

Sajjadi, M. S. M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S. Assessing Generative Models via Precision and Recall Workshop on Theoretical Foundations and Applications of Deep Generative Models (TADGM) at the 35th International Conference on Machine Learning (ICML), July 2018 (conference)

arXiv [BibTex]

Sajjadi, M. S. M., Parascandolo, G., Mehrjou, A., Schölkopf, B. Tempered Adversarial Networks Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4448-4456, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

arXiv link (url) Project Page [BibTex]

Parmas, P., Rasmussen, C., Peters, J., Doya, K. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4065-4074, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

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) Project Page [BibTex]

Mehrjou, A., Schölkopf, B. Nonstationary GANs: Analysis as Nonautonomous Dynamical Systems Workshop on Theoretical Foundations and Applications of Deep Generative Models at ICML, July 2018 (conference)

PDF [BibTex]

Ganea, O., Becigneul, G., Hofmann, T. Hyperbolic Entailment Cones for Learning Hierarchical Embeddings Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 1646-1655, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) [BibTex]

Balog, M., Tolstikhin, I., Schölkopf, B. Differentially Private Database Release via Kernel Mean Embeddings Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 423-431, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page Project Page [BibTex]

Locatello, F., Raj, A., Praneeth Karimireddy, S., Rätsch, G., Schölkopf, B., Stich, S. U., Jaggi, M. On Matching Pursuit and Coordinate Descent Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 3204-3213, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

Wüthrich, M., Schölkopf, B. Iterative Model-Fitting and Local Controller Optimization - Towards a Better Understanding of Convergence Properties Workshop on Prediction and Generative Modeling in Reinforcement Learning at ICML, July 2018 (conference)

PDF link (url) [BibTex]

Muandet, K., Kanagawa, M., Saengkyongam, S., Marukata, S. Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML) at ICML, July 2018 (conference)

[BibTex]

Sajjadi, M. S. M., Vemulapalli, R., Brown, M. Frame-Recurrent Video Super-Resolution IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , June 2018 (conference)

ArXiv link (url) [BibTex]

Jin, M., Hirsch, M., Favaro, P. Learning Face Deblurring Fast and Wide The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages: 745-753, June 2018 (conference)

link (url) [BibTex]

Tolstikhin, I., Bousquet, O., Gelly, S., Schölkopf, B. Wasserstein Auto-Encoders 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

link (url) Project Page [BibTex]

Dehghani, M., Mehrjou, A., Gouws, S., Kamps, J., Schölkopf, B. Fidelity-Weighted Learning 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

link (url) Project Page [BibTex]

Lioutikov, R., Maeda, G., Veiga, F., Kersting, K., Peters, J. Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives IEEE International Conference on Robotics and Automation, (ICRA), pages: 1-8, IEEE, May 2018 (conference)

DOI Project Page [BibTex]

Mroueh, Y., Li*, C., Sercu*, T., Raj*, A., Cheng, Y. Sobolev GAN 6th International Conference on Learning Representations (ICLR), May 2018, *equal contribution (conference)

link (url) Project Page [BibTex]

Pong*, V., Gu*, S., Dalal, M., Levine, S. Temporal Difference Models: Model-Free Deep RL for Model-Based Control 6th International Conference on Learning Representations (ICLR), May 2018, *equal contribution (conference)

link (url) Project Page [BibTex]

Rubenstein, P. K., Schölkopf, B., Tolstikhin, I. Wasserstein Auto-Encoders: Latent Dimensionality and Random Encoders Workshop at the 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

link (url) Project Page [BibTex]

Eysenbach, B., Gu, S., Ibarz, J., Levine, S. Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

Videos link (url) Project Page [BibTex]

Sajjadi, M. S. M., Parascandolo, G., Mehrjou, A., Schölkopf, B. Tempered Adversarial Networks Workshop at the 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

arXiv [BibTex]

Koert, D., Maeda, G., Neumann, G., Peters, J. Learning Coupled Forward-Inverse Models with Combined Prediction Errors IEEE International Conference on Robotics and Automation, (ICRA), pages: 2433-2439, IEEE, May 2018 (conference)

DOI Project Page [BibTex]

Rubenstein, P. K., Schölkopf, B., Tolstikhin, I. Learning Disentangled Representations with Wasserstein Auto-Encoders Workshop at the 6th International Conference on Learning Representations (ICLR), May 2018 (conference)

link (url) Project Page [BibTex]

Bauer, M., Volchkov, V., Hirsch, M., Schölkopf, B. Automatic Estimation of Modulation Transfer Functions IEEE International Conference on Computational Photography (ICCP), May 2018 (conference)

DOI [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]

Pinsler, R., Akrour, R., Osa, T., Peters, J., Neumann, G. Sample and Feedback Efficient Hierarchical Reinforcement Learning from Human Preferences IEEE International Conference on Robotics and Automation, (ICRA), pages: 596-601, IEEE, May 2018 (conference)

DOI Project Page [BibTex]

Besserve, M., Shajarisales, N., Schölkopf, B., Janzing, D. Group invariance principles for causal generative models Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 84, pages: 557-565, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

link (url) [BibTex]

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G. Boosting Variational Inference: an Optimization Perspective Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

link (url) Project Page Project Page [BibTex]

Blöbaum, P., Janzing, D., Washio, T., Shimizu, S., Schölkopf, B. Cause-Effect Inference by Comparing Regression Errors Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS) , 84, pages: 900-909, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, April 2018 (conference)

link (url) [BibTex]

Schwarz, K., Wieschollek, P., Lensch, H. P. A. Will People Like Your Image? Learning the Aesthetic Space 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), pages: 2048-2057, March 2018 (conference)

DOI [BibTex]

Kim, J., Tabibian, B., Oh, A., Schölkopf, B., Gomez Rodriguez, M. Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM), pages: 324-332, (Editors: Yi Chang, Chengxiang Zhai, Yan Liu, and Yoelle Maarek), ACM, Febuary 2018 (conference)

DOI Project Page Project Page [BibTex]