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Empirical Inference Conference Paper AdaGAN: Boosting Generative Models Tolstikhin, I., Gelly, S., Bousquet, O., Simon-Gabriel, C. J., Schölkopf, B. Advances in Neural Information Processing Systems 30 (NIPS 2017), 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 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper 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 (NIPS 2017), 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 (Published) URL BibTeX
Empirical Inference Conference Paper Boosting Variational Inference: an Optimization Perspective Locatello, F., Khanna, R., Ghosh, J., Rätsch, G. Workshop: Advances in Approximate Bayesian Inference at the 31st Conference on Neural Information Processing Systems, December 2017 (Published) URL BibTeX
Empirical Inference Conference Paper ConvWave: Searching for Gravitational Waves with Fully Convolutional Neural Nets Gebhard, T., Kilbertus, N., Parascandolo, G., Harry, I., Schölkopf, B. Workshop on Deep Learning for Physical Sciences (DLPS) at the 31st Conference on Neural Information Processing Systems, December 2017 (Published) URL BibTeX
Empirical Inference Probabilistic Learning Group Conference Paper From Parity to Preference-based Notions of Fairness in Classification Zafar, M. B., Valera, I., Gomez Rodriguez, M., Gummadi, K., Weller, A. Advances in Neural Information Processing Systems 30 (NIPS 2017), 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 (Published) URL BibTeX
Empirical Inference Conference Paper Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees Locatello, F., Tschannen, M., Rätsch, G., Jaggi, M. Advances in Neural Information Processing Systems 30 (NIPS 2017), 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 (Published) URL BibTeX
Empirical Inference Conference Paper Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning Gu, S., Lillicrap, T., Turner, R. E., Ghahramani, Z., Schölkopf, B., Levine, S. Advances in Neural Information Processing Systems 30 (NIPS 2017), 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 (Published) URL BibTeX
Empirical Inference Conference Paper 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 (Published) URL BibTeX
Empirical Inference Conference Paper Safe Adaptive Importance Sampling Stich, S. U., Raj, A., Jaggi, M. Advances in Neural Information Processing Systems 30 (NIPS 2017), 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 (Published) URL BibTeX
Empirical Inference Conference Paper Closed-form Inference and Prediction in Gaussian Process State-Space Models Ialongo, A. D., Van Der Wilk, M., Rasmussen, C. E. Time Series Workshop at the 31st Conference on Neural Information Processing Systems, December 2017 (Published) PDF BibTeX
Empirical Inference Conference Paper 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 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Robust Video Synchronization without Annotations Wieschollek, P., Freeman, I., Lensch, H. P. A. 16th IEEE International Conference on Machine Learning and Applications (ICMLA), 92 - 100, (Editors: X. Chen, B. Luo, F. Luo, V. Palade, and M. A. Wani), IEEE, December 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper 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. Workshop on Prioritising Online Content at the 31st Conference on Neural Information Processing Systems, December 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Optimizing human learning Tabibian, B., Upadhyay, U., De, A., Zarezade, A., Schölkopf, B., Gomez Rodriguez, M. Workshop on Teaching Machines, Robots, and Humans at the 31st Conference on Neural Information Processing Systems, December 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows Huang, B., Zhang, K., Zhang, J., Sanchez-Romero, R., Glymour, C., Schölkopf, B. IEEE 17th International Conference on Data Mining (ICDM), 913-918, (Editors: Vijay Raghavan,Srinivas Aluru, George Karypis, Lucio Miele and Xindong Wu), November 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper A Comparison of Distance Measures for Learning Nonparametric Motor Skill Libraries Stark, S., Peters, J., Rueckert, E. IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), 624-630, IEEE, November 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper Active Incremental Learning of Robot Movement Primitives Maeda, G., Ewerton, M., Osa, T., Busch, B., Peters, J. Proceedings of the 1st Annual Conference on Robot Learning (CoRL), 78:37-46, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Efficient Online Adaptation with Stochastic Recurrent Neural Networks Tanneberg, D., Peters, J., Rueckert, E. IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), 198-204, IEEE, November 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper End-to-End Learning for Image Burst Deblurring Wieschollek, P., Schölkopf, B., Lensch, H. P. A., Hirsch, M. Computer Vision - ACCV 2016 - 13th Asian Conference on Computer Vision, 10114:35-51, Image Processing, Computer Vision, Pattern Recognition, and Graphics, (Editors: Lai, S.-H., Lepetit, V., Nishino, K., and Sato, Y. ), Springer, November 2017 (Published) BibTeX
Empirical Inference Conference Paper Learning inverse dynamics models in O(n) time with LSTM networks Rueckert, E., Nakatenus, M., Tosatto, S., Peters, J. IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), 811-816, IEEE, November 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals Tanneberg, D., Peters, J., Rueckert, E. Proceedings of the 1st Annual Conference on Robot Learning (CoRL), 167-174, Proceedings of Machine Learning Research, (Editors: Sergey Levine, Vincent Vanhoucke and Ken Goldberg), PMLR, November 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Simulation of the underactuated Sake Robotics Gripper in V-REP Thiem, S., Stark, S., Tanneberg, D., Peters, J., Rueckert, E. Workshop at the International Conference on Humanoid Robots (HUMANOIDS), November 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Blind Motion Deblurring Wieschollek, P., Hirsch, M., Schölkopf, B., Lensch, H. Proceedings IEEE International Conference on Computer Vision (ICCV), 231-240, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Online Video Deblurring via Dynamic Temporal Blending Network Kim, T. H., Lee, K. M., Schölkopf, B., Hirsch, M. Proceedings IEEE International Conference on Computer Vision (ICCV), 4038-4047, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (Published) URL BibTeX
Empirical Inference Conference Paper EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis Sajjadi, M. S. M., Schölkopf, B., Hirsch, M. Proceedings IEEE International Conference on Computer Vision (ICCV), 4501-4510, IEEE, Piscataway, NJ, USA, IEEE International Conference on Computer Vision (ICCV), October 2017 (Published) Arxiv Project DOI URL BibTeX
Empirical Inference Article Generalized exploration in policy search van Hoof, H., Tanneberg, D., Peters, J. 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 (Published) DOI BibTeX
Empirical Inference Poster Improving performance of linear field generation with multi-coil setup by optimizing coils position Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K. 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 2017), October 2017 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Multi-frame blind image deconvolution through split frequency - phase recovery Gauci, A., Abela, J., Cachia, E., Hirsch, M., ZarbAdami, K. Proc. SPIE 10225, Eighth International Conference on Graphic and Image Processing (ICGIP 2016), 1022511, (Editors: Yulin Wang, Tuan D. Pham, Vit Vozenilek, David Zhang, Yi Xie), October 2017 DOI BibTeX
Empirical Inference Conference Paper Personalized Brain-Computer Interface Models for Motor Rehabilitation Mastakouri, A., Weichwald, S., Ozdenizci, O., Meyer, T., Schölkopf, B., Grosse-Wentrup, M. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 3024-3029, October 2017 (Published) ArXiv PDF DOI BibTeX
Empirical Inference Article Probabilistic Prioritization of Movement Primitives Paraschos, A., Lioutikov, R., Peters, J., Neumann, G. Proceedings of the International Conference on Intelligent Robot Systems, and IEEE Robotics and Automation Letters (RA-L), 2(4):2294-2301, October 2017 (Published) DOI URL BibTeX
Empirical Inference Conference Paper A Guided Task for Cognitive Brain-Computer Interfaces Moser, J., Hohmann, M. R., Schölkopf, B., Grosse-Wentrup, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, 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 (Published) DOI BibTeX
Empirical Inference Autonomous Motion Conference Paper Bayesian Regression for Artifact Correction in Electroencephalography Fiebig, K., Jayaram, V., Hesse, T., Blank, A., Peters, J., Grosse-Wentrup, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, 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 (Published) DOI BibTeX
Empirical Inference Conference Paper Closing One’s Eyes Affects Amplitude Modulation but Not Frequency Modulation in a Cognitive BCI Görner, M., Schölkopf, B., Grosse-Wentrup, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, 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 (Published) DOI BibTeX
Empirical Inference Conference Paper Correlations of Motor Adaptation Learning and Modulation of Resting-State Sensorimotor EEG Activity Ozdenizci, O., Yalcin, M., Erdogan, A., Patoglu, V., Grosse-Wentrup, M., Cetin, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, 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 (Published) DOI BibTeX
Empirical Inference Autonomous Motion Conference Paper Investigating Music Imagery as a Cognitive Paradigm for Low-Cost Brain-Computer Interfaces Grossberger, L., Hohmann, M. R., Peters, J., Grosse-Wentrup, M. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017 - From Vision to Reality, 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 (Published) DOI BibTeX
Empirical Inference Conference Paper Assisting the practice of motor skills by humans with a probability distribution over trajectories Ewerton, M., Maeda, G., Rother, D., Weimar, J., Lotter, L., Kollegger, G., Wiemeyer, J., Peters, J. In Workshop Human-in-the-loop robotic manipulation: on the influence of the human role at IROS, September 2017 (Published) URL BibTeX
Empirical Inference Conference Paper BIMROB – Bidirectional Interaction Between Human and Robot for the Learning of Movements Kollegger, G., Ewerton, M., Wiemeyer, J., Peters, J. 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 (Published) DOI BibTeX
Empirical Inference Conference Paper Goal-driven dimensionality reduction for reinforcement learning Parisi, S., Ramstedt, S., Peters, J. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 4634-4639, IEEE, September 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper Hybrid control trajectory optimization under uncertainty Pajarinen, J., Kyrki, V., Koval, M., Srinivasa, S., Peters, J., Neumann, G. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 5694-5701, September 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper Weakly-Supervised Localization of Diabetic Retinopathy Lesions in Retinal Fundus Images Gondal, M. W., Köhler, J. M., Grzeszick, R., Fink, G., Hirsch, M. IEEE International Conference on Image Processing (ICIP), 2069-2073, September 2017 (Published) arXiv DOI BibTeX
Empirical Inference Conference Paper Causal Consistency of Structural Equation Models Rubenstein*, P. K., Weichwald*, S., Bongers, S., Mooij, J. M., Janzing, D., Grosse-Wentrup, M., Schölkopf, B. Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), ID 11, (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), August 2017, *equal contribution (Published) Arxiv PDF URL BibTeX
Empirical Inference Conference Paper Causal Discovery from Temporally Aggregated Time Series Gong, M., Zhang, K., Schölkopf, B., Glymour, C., Tao, D. Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), ID 269, (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), August 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Approximate Steepest Coordinate Descent Stich, S., Raj, A., Jaggi, M. Proceedings of the 34th International Conference on Machine Learning (ICML), 70:3251-3259, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, August 2017 (Published) URL BibTeX
Empirical Inference Autonomous Motion Conference Paper Local Bayesian Optimization of Motor Skills Akrour, R., Sorokin, D., Peters, J., Neumann, G. Proceedings of the 34th International Conference on Machine Learning (ICML), 70:41-50, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, August 2017 (Published) URL BibTeX
Empirical Inference Conference Paper Lost Relatives of the Gumbel Trick Balog, M., Tripuraneni, N., Ghahramani, Z., Weller, A. Proceedings of the 34th International Conference on Machine Learning (ICML), 70:371-379, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, August 2017 (Published) Code URL BibTeX
Empirical Inference Conference Paper Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control Jaques, N., Gu, S., Bahdanau, D., Hernández-Lobato, J. M., Turner, R. E., Eck, D. Proceedings of the 34th International Conference on Machine Learning (ICML), 70:1645-1654, Proceedings of Machine Learning Research, (Editors: Doina Precup, Yee Whye Teh), PMLR, August 2017 (Published) Arxiv URL BibTeX
Empirical Inference Conference Paper Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination Zhang, K., Huang, B., Zhang, J., Glymour, C., Schölkopf, B. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI), 1347-1353, (Editors: Carles Sierra), August 2017 (Published) PDF DOI BibTeX
Empirical Inference Conference Paper Discovering Causal Signals in Images Lopez-Paz, D., Nishihara, R., Chintala, S., Schölkopf, B., Bottou, L. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 58-66, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (Published) DOI URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Dynamic Time-of-Flight Schober, M., Adam, A., Yair, O., Mazor, S., Nowozin, S. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 170-179, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (Published) DOI BibTeX
Empirical Inference Conference Paper Flexible Spatio-Temporal Networks for Video Prediction Lu, C., Hirsch, M., Schölkopf, B. Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, 2137-2145, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (Published) DOI URL BibTeX