Gu, S., Lillicrap, T., Turner, R. E., Ghahramani, Z., Schölkopf, B., Levine, S. Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning Advances in Neural Information Processing Systems 30, pages: 3849-3858, (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) Project Page [BibTex]

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G. Boosting Variational Inference: an Optimization Perspective Workshop: Advances in Approximate Bayesian Inference at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

link (url) [BibTex]

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]

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) Project Page [BibTex]

Locatello, F., Tschannen, M., Rätsch, G., Jaggi, M. Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees Advances in Neural Information Processing Systems 30, pages: 773-784, (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) Project Page [BibTex]

Tolstikhin, I., Gelly, S., Bousquet, O., Simon-Gabriel, C. J., Schölkopf, B. AdaGAN: Boosting Generative Models Advances in Neural Information Processing Systems 30, pages: 5424-5433, (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)

arXiv link (url) Project Page [BibTex]

Stich, S. U., Raj, A., Jaggi, M. Safe Adaptive Importance Sampling Advances in Neural Information Processing Systems 30, pages: 4384-4394, (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) Project Page [BibTex]

Gebhard, T., Kilbertus, N., Parascandolo, G., Harry, I., Schölkopf, B. ConvWave: Searching for Gravitational Waves with Fully Convolutional Neural Nets Workshop on Deep Learning for Physical Sciences (DLPS) at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

link (url) Project Page [BibTex]

Zafar, M. B., Valera, I., Gomez Rodriguez, M., Gummadi, K., Weller, A. From Parity to Preference-based Notions of Fairness in Classification Advances in Neural Information Processing Systems 30, pages: 229-239, (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) Project Page [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]

Ialongo, A. D., Van Der Wilk, M., Rasmussen, C. E. Closed-form Inference and Prediction in Gaussian Process State-Space Models Time Series Workshop at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

PDF [BibTex]

Wieschollek, P., Freeman, I., Lensch, H. P. A. Learning Robust Video Synchronization without Annotations 16th IEEE International Conference on Machine Learning and Applications (ICMLA), pages: 92 - 100, (Editors: X. Chen, B. Luo, F. Luo, V. Palade, and M. A. Wani), IEEE, December 2017 (conference)

DOI [BibTex]

Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M. Optimizing human learning Workshop on Teaching Machines, Robots, and Humans at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

link (url) [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 Workshop on Prioritising Online Content at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

link (url) [BibTex]

Tanneberg, D., Peters, J., Rueckert, E. Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Proceedings of the 1st Annual Conference on Robot Learning (CoRL), pages: 167-174, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (conference)

link (url) Project Page [BibTex]

Huang, B., Zhang, K., Zhang, J., Sanchez-Romero, R., Glymour, C., Schölkopf, B. Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows IEEE 17th International Conference on Data Mining (ICDM), pages: 913-918, (Editors: Vijay Raghavan,Srinivas Aluru, George Karypis, Lucio Miele and Xindong Wu), November 2017 (conference)

DOI [BibTex]

Tanneberg, D., Peters, J., Rueckert, E. Efficient Online Adaptation with Stochastic Recurrent Neural Networks IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 198-204, IEEE, November 2017 (conference)

DOI Project Page [BibTex]

Rueckert, E., Nakatenus, M., Tosatto, S., Peters, J. Learning inverse dynamics models in O(n) time with LSTM networks IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 811-816, IEEE, November 2017 (conference)

DOI Project Page [BibTex]

Stark, S., Peters, J., Rueckert, E. A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), pages: 624-630, IEEE, November 2017 (conference)

DOI Project Page [BibTex]

Thiem, S., Stark, S., Tanneberg, D., Peters, J., Rueckert, E. Simulation of the underactuated Sake Robotics Gripper in V-REP Workshop at the International Conference on Humanoid Robots (HUMANOIDS), November 2017 (conference)

link (url) [BibTex]

Wieschollek, P., Schölkopf, B., Lensch, H. P. A., Hirsch, M. End-to-End Learning for Image Burst Deblurring Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, 10114, pages: 35-51, Image Processing, Computer Vision, Pattern Recognition, and Graphics, (Editors: Lai, S.-H., Lepetit, V., Nishino, K., and Sato, Y. ), Springer, November 2017 (conference)

[BibTex]

Maeda, G., Ewerton, M., Osa, T., Busch, B., Peters, J. Active Incremental Learning of Robot Movement Primitives Proceedings of the 1st Annual Conference on Robot Learning (CoRL), 78, pages: 37-46, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (conference)

link (url) Project Page [BibTex]

Kim, T. H., Lee, K. M., Schölkopf, B., Hirsch, M. Online Video Deblurring via Dynamic Temporal Blending Network Proceedings IEEE International Conference on Computer Vision (ICCV), pages: 4038-4047, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (conference)

link (url) [BibTex]

Sajjadi, M. S. M., Schölkopf, B., Hirsch, M. EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis Proceedings IEEE International Conference on Computer Vision (ICCV), pages: 4501-4510, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (conference)

Arxiv Project link (url) DOI [BibTex]

Wieschollek, P., Hirsch, M., Schölkopf, B., Lensch, H. Learning Blind Motion Deblurring Proceedings IEEE International Conference on Computer Vision (ICCV), pages: 231-240, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (conference)

link (url) [BibTex]

Mastakouri, A., Weichwald, S., Ozdenizci, O., Meyer, T., Schölkopf, B., Grosse-Wentrup, M. Personalized Brain-Computer Interface Models for Motor Rehabilitation Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), pages: 3024-3029, October 2017 (conference)

ArXiv PDF DOI Project Page [BibTex]

Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K. Improving performance of linear field generation with multi-coil setup by optimizing coils position Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), October 2017 (poster)

link (url) DOI [BibTex]

van Hoof, H., Tanneberg, D., Peters, J. Generalized exploration in policy search Machine Learning, 106(9-10):1705-1724 , (Editors: Kurt Driessens, Dragi Kocev, Marko Robnik‐Sikonja, and Myra Spiliopoulou), October 2017, Special Issue of the ECML PKDD 2017 Journal Track (article)

DOI Project Page [BibTex]

Gauci, A., Abela, J., Cachia, E., Hirsch, M., ZarbAdami, K. Multi-frame blind image deconvolution through split frequency - phase recovery Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), pages: 1022511, (Editors: Yulin Wang, Tuan D. Pham, Vit Vozenilek, David Zhang, Yi Xie), October 2017 (conference)

DOI [BibTex]

Paraschos, A., Lioutikov, R., Peters, J., Neumann, G. Probabilistic Prioritization of Movement Primitives Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L), 2(4):2294-2301, October 2017 (article)

link (url) DOI [BibTex]

Görner, M., Schölkopf, B., Grosse-Wentrup, M. Closing One’s Eyes Affects Amplitude Modulation but Not Frequency Modulation in a Cognitive BCI Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 165-170, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

Moser, J., Hohmann, M. R., Schölkopf, B., Grosse-Wentrup, M. A Guided Task for Cognitive Brain-Computer Interfaces Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 326-331, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M. Bayesian Regression for Artifact Correction in Electroencephalography Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 131-136, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

Grossberger, L., Hohmann, M. R., Peters, J., Grosse-Wentrup, M. Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 160-164, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

Ozdenizci, O., Yalcin, M., Erdogan, A., Patoglu, V., Grosse-Wentrup, M., Cetin, M. Correlations of Motor Adaptation Learning and Modulation of Resting-State Sensorimotor EEG Activity Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, pages: 384-388, (Editors: Müller-Putz G.R., Steyrl D., Wriessnegger S. C., Scherer R.), Graz University of Technology, Austria, Graz Brain-Computer Interface Conference, September 2017 (conference)

DOI [BibTex]

Gondal, M. W., Köhler, J. M., Grzeszick, R., Fink, G., Hirsch, M. Weakly-Supervised Localization of Diabetic Retinopathy Lesions in Retinal Fundus Images IEEE International Conference on Image Processing (ICIP), pages: 2069-2073, September 2017 (conference)

arXiv DOI [BibTex]

Ewerton, M., Maeda, G., Rother, D., Weimar, J., Lotter, L., Kollegger, G., Wiemeyer, J., Peters, J. Assisting the practice of motor skills by humans with a probability distribution over trajectories In Workshop Human-in-the-loop robotic manipulation: on the influence of the human role at IROS, September 2017 (inproceedings)

link (url) [BibTex]

Kollegger, G., Ewerton, M., Wiemeyer, J., Peters, J. BIMROB – Bidirectional Interaction Between Human and Robot for the Learning of Movements Proceedings of the 11th International Symposium on Computer Science in Sport (IACSS), (663):151-163, Advances in Intelligent Systems and Computing, (Editors: Lames M., Saupe D. and Wiemeyer J.), Springer International Publishing, September 2017 (conference)

DOI [BibTex]

Parisi, S., Ramstedt, S., Peters, J. Goal-driven dimensionality reduction for reinforcement learning IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages: 4634-4639, IEEE, September 2017 (conference)

DOI Project Page [BibTex]

Pajarinen, J., Kyrki, V., Koval, M., Srinivasa, S., Peters, J., Neumann, G. Hybrid control trajectory optimization under uncertainty IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages: 5694-5701, September 2017 (conference)

DOI Project Page [BibTex]

Akrour, R., Sorokin, D., Peters, J., Neumann, G. Local Bayesian Optimization of Motor Skills Proceedings of the 34th International Conference on Machine Learning, 70, pages: 41-50, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

link (url) Project Page [BibTex]

Jaques, N., Gu, S., Bahdanau, D., Hernández-Lobato, J. M., Turner, R. E., Eck, D. Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control Proceedings of the 34th International Conference on Machine Learning, 70, pages: 1645-1654, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

Arxiv link (url) Project Page [BibTex]

Balog, M., Tripuraneni, N., Ghahramani, Z., Weller, A. Lost Relatives of the Gumbel Trick Proceedings of the 34th International Conference on Machine Learning, 70, pages: 371-379, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

Code link (url) Project Page [BibTex]

Stich, S., Raj, A., Jaggi, M. Approximate Steepest Coordinate Descent Proceedings of the 34th International Conference on Machine Learning, 70, pages: 3251-3259, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, International Conference on Machine Learning (ICML), August 2017 (conference)

link (url) Project Page [BibTex]

Rubenstein*, P. K., Weichwald*, S., Bongers, S., Mooij, J. M., Janzing, D., Grosse-Wentrup, M., Schölkopf, B. Causal Consistency of Structural Equation Models Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), Association for Uncertainty in Artificial Intelligence (AUAI), Conference on Uncertainty in Artificial Intelligence (UAI), August 2017, *equal contribution (conference)

Arxiv PDF link (url) [BibTex]

Gong, M., Zhang, K., Schölkopf, B., Glymour, C., Tao, D. Causal Discovery from Temporally Aggregated Time Series Proceedings Conference on Uncertainty in Artificial Intelligence (UAI) 2017, pages: ID 269, (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), Association for Uncertainty in Artificial Intelligence (AUAI), Conference on Uncertainty in Artificial Intelligence (UAI), August 2017 (conference)

link (url) [BibTex]

Zhang, K., Huang, B., Zhang, J., Glymour, C., Schölkopf, B. Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), pages: 1347-1353, (Editors: Carles Sierra), August 2017 (conference)

PDF DOI [BibTex]

Lu, C., Hirsch, M., Schölkopf, B. Flexible Spatio-Temporal Networks for Video Prediction Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 2137-2145, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)

link (url) DOI [BibTex]

Lopez-Paz, D., Nishihara, R., Chintala, S., Schölkopf, B., Bottou, L. Discovering Causal Signals in Images Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 58-66, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)

link (url) DOI [BibTex]

Schober, M., Adam, A., Yair, O., Mazor, S., Nowozin, S. Dynamic Time-of-Flight Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 170-179, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)

DOI [BibTex]