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Empirical Inference Conference Paper A Computational Camera with Programmable Optics for Snapshot High Resolution Multispectral Imaging Chen, J., Hirsch, M., Eberhardt, B., Lensch, H. P. A. Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, Part III, 11363:685-699, Lecture Notes in Computer Science, Springer, December 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Neitz, A., Parascandolo, G., Bauer, S., Schölkopf, B. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 9838-9848, (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 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Assessing Generative Models via Precision and Recall Sajjadi, M. S. M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 5234-5243, (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 (Published) arXiv URL BibTeX
Empirical Inference Probabilistic Learning Group Conference Paper Bayesian Nonparametric Hawkes Processes Kapoor, J., Vergari, A., Gomez Rodriguez, M., Valera, I. Bayesian Nonparametrics workshop at the 32nd Conference on Neural Information Processing Systems, December 2018 (Published) PDF URL BibTeX
Empirical Inference Probabilistic Learning Group Conference Paper Boosting Black Box Variational Inference Locatello*, F., Dresdner*, G., R., K., Valera, I., Rätsch, G. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 3405-3415, (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 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Consolidating the Meta-Learning Zoo: A Unifying Perspective as Posterior Predictive Inference Gordon*, J., Bronskill*, J., Bauer*, M., Nowozin, S., Turner, R. E. Workshop on Meta-Learning (MetaLearn 2018) at the 32nd Conference on Neural Information Processing Systems, December 2018, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning Harder, F., Köhler, J., Welling, M., Park, M. Workshop on Privacy Preserving Machine Learning at the 32nd Conference on Neural Information Processing Systems, December 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Data-Efficient Hierarchical Reinforcement Learning Nachum, O., Gu, S., Lee, H., Levine, S. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 3307-3317, (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 (Published) URL BibTeX
Empirical Inference Conference Paper Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems Mehrjou, A., Schölkopf, B. Workshop: Infer to Control: Probabilistic Reinforcement Learning and Structured Control at the 32nd Conference on Neural Information Processing Systems, December 2018 (Published) PDF URL BibTeX
Intelligent Control Systems Empirical Inference Conference Paper Efficient Encoding of Dynamical Systems through Local Approximations Solowjow, F., Mehrjou, A., Schölkopf, B., Trimpe, S. In Proceedings of the 57th IEEE International Conference on Decision and Control (CDC), 6073 - 6079 , Miami, Fl, USA, December 2018 (Published) arXiv PDF DOI BibTeX
Empirical Inference Probabilistic Learning Group Conference Paper Enhancing the Accuracy and Fairness of Human Decision Making Valera, I., Singla, A., Gomez Rodriguez, M. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 1774-1783, (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 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Generalisation in humans and deep neural networks Geirhos, R., Temme, C. R. M., Rauber, J., Schütt, H., Bethge, M., Wichmann, F. A. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 7549-7561, (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 (Published) URL BibTeX
Empirical Inference Conference Paper Generalization in anti-causal learning Kilbertus*, N., Parascandolo*, G., Schölkopf*, B. NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning, December 2018, *authors are listed in alphabetical order arXiv URL BibTeX
Empirical Inference Conference Paper Hyperbolic Neural Networks Ganea*, O., Becigneul*, G., Hofmann, T. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 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 (Published) URL BibTeX
Empirical Inference Conference Paper Informative Features for Model Comparison Jitkrittum, W., Kanagawa, H., Sangkloy, P., Hays, J., Schölkopf, B., Gretton, A. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 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 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Invariances using the Marginal Likelihood van der Wilk, M., Bauer, M., John, S. T., Hensman, J. Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 9960-9970, (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 (Published) URL BibTeX
Empirical Inference Conference Paper Non-factorised Variational Inference in Dynamical Systems Ialongo, A. D., Van Der Wilk, M., Hensman, J., Rasmussen, C. E. 1st Symposion on Advances in Approximate Bayesian Inference, December 2018 (Published) PDF URL BibTeX
Empirical Inference Article Parallel and functionally segregated processing of task phase and conscious content in the prefrontal cortex Kapoor, V., Besserve, M., Logothetis, N. K., Panagiotaropoulos, T. I. Communications Biology, 1(215):1-12, December 2018 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Resampled Priors for Variational Autoencoders Bauer, M., Mnih, A. Third Workshop on Bayesian Deep Learning at the 32nd Conference on Neural Information Processing Systems, December 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Versa: Versatile and Efficient Few-shot Learning Gordon*, J., Bronskill*, J., Bauer*, M., Nowozin, S., Turner, R. E. Third Workshop on Bayesian Deep Learning at the 32nd Conference on Neural Information Processing Systems, December 2018, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Constraint-Space Projection Direct Policy Search Akrour, R., Peters, J., Neuman, G. 14th European Workshop on Reinforcement Learning (EWRL), October 2018 (Published) URL BibTeX
Empirical Inference Article Control of Musculoskeletal Systems using Learned Dynamics Models Büchler, D., Calandra, R., Schölkopf, B., Peters, J. IEEE Robotics and Automation Letters, 3(4):3161-3168, IEEE, October 2018 (Published) RAL18final DOI URL BibTeX
Empirical Inference Conference Paper Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment Muratore, F., Treede, F., Gienger, M., Peters, J. 2nd Annual Conference on Robot Learning (CoRL), 87:700-713, Proceedings of Machine Learning Research, PMLR, October 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Learning to Categorize Bug Reports with LSTM Networks Gondaliya, K., Peters, J., Rueckert, E. Proceedings of the 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), 7-12, October 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Mean squared advantage minimization as a consequence of entropic policy improvement regularization Belousov, B., Peters, J. European Workshop on Reinforcement Learning (EWRL), October 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Regularizing Reinforcement Learning with State Abstraction Akrour, R., Veiga, F., Peters, J., Neuman, G. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 534-539, October 2018 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets Maeda, G., Koc, O., Morimoto, J. Proceedings of The 2nd Conference on Robot Learning (CoRL), 87:630-640, (Editors: Aude Billard, Anca Dragan, Jan Peters, Jun Morimoto ), PMLR, October 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Risk-Sensitivity in Simulation Based Online Planning Schmid, K., Belzner, L., Kiermeier, M., Neitz, A., Phan, T., Gabor, T., Linnhoff, C. KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, 229-240, (Editors: F. Trollmann and A. Y. Turhan), Springer, Cham, September 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper Separating Reflection and Transmission Images in the Wild Wieschollek, P., Gallo, O., Gu, J., Kautz, J. European Conference on Computer Vision (ECCV), Part XIII, 11217:90-105, Lecture Notes in Computer Science, (Editors: Vittorio Ferrari and Martial Hebert and Cristian Sminchisescu and Yair Weiss), Springer, September 2018 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Spatio-temporal Transformer Network for Video Restoration Kim, T. H., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. 15th European Conference on Computer Vision (ECCV), Part III, 11207:111-127, Lecture Notes in Computer Science, (Editors: Vittorio Ferrari, Martial Hebert,Cristian Sminchisescu and Yair Weiss), Springer, September 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution Gondal, M. W., Schölkopf, B., Hirsch, M. Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), September 2018 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper From Deterministic ODEs to Dynamic Structural Causal Models Rubenstein, P. K., Bongers, S., Schölkopf, B., Mooij, J. M. Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), 114-123, (Editors: Globerson, Amir and Silva, Ricardo), August 2018 (Published) Arxiv URL BibTeX
Empirical Inference Conference Paper Generalized Score Functions for Causal Discovery Huang, B., Zhang, K., Lin, Y., Schölkopf, B., Glymour, C. Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 1551-1560, (Editors: Yike Guo and Faisal Farooq), ACM, August 2018 (Published) DOI URL BibTeX
Empirical Inference Conference Paper 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), 80:5713-5722, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Assessing Generative Models via Precision and Recall Sajjadi, M. S. M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S. Workshop on Theoretical Foundations and Applications of Deep Generative Models (TADGM) at the 35th International Conference on Machine Learning (ICML), July 2018 (Published) arXiv BibTeX
Empirical Inference Conference Paper 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), 80:2635-2644, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference Muandet, K., Kanagawa, M., Saengkyongam, S., Marukata, S. Workshop on Machine Learning for Causal Inference, Counterfactual Prediction, and Autonomous Action (CausalML) at ICML, July 2018 (Published) BibTeX
Empirical Inference Conference Paper Detecting non-causal artifacts in multivariate linear regression models Janzing, D., Schölkopf, B. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:2250-2258, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Differentially Private Database Release via Kernel Mean Embeddings Balog, M., Tolstikhin, I., Schölkopf, B. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:423-431, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Hyperbolic Entailment Cones for Learning Hierarchical Embeddings Ganea, O., Becigneul, G., Hofmann, T. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:1646-1655, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Intrinsic disentanglement: an invariance view for deep generative models Besserve, M., Sun, R., Schölkopf, B. Workshop on Theoretical Foundations and Applications of Deep Generative Models at ICML, July 2018 (Published) PDF BibTeX
Empirical Inference Conference Paper Iterative Model-Fitting and Local Controller Optimization - Towards a Better Understanding of Convergence Properties Wüthrich, M., Schölkopf, B. Workshop on Prediction and Generative Modeling in Reinforcement Learning at ICML, July 2018 (Published) PDF URL BibTeX
Empirical Inference Conference Paper Learning Independent Causal Mechanisms Parascandolo, G., Kilbertus, N., Rojas-Carulla, M., Schölkopf, B. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:4033-4041, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper 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), July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Nonstationary GANs: Analysis as Nonautonomous Dynamical Systems Mehrjou, A., Schölkopf, B. Workshop on Theoretical Foundations and Applications of Deep Generative Models at ICML, July 2018 (Published) PDF BibTeX
Empirical Inference Conference Paper On Matching Pursuit and Coordinate Descent 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), 80:3204-3213, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Article 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, 48(4):332-347, July 2018 (Published) DOI BibTeX
Empirical Inference Conference Paper PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Parmas, P., Rasmussen, C., Peters, J., Doya, K. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:4065-4074, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Conference Paper Tempered Adversarial Networks Sajjadi, M. S. M., Parascandolo, G., Mehrjou, A., Schölkopf, B. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:4448-4456, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper The Mirage of Action-Dependent Baselines in Reinforcement Learning Tucker, G., Bhupatiraju, S., Gu, S., Turner, R., Ghahramani, Z., Levine, S. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:5022-5031, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) PDF URL BibTeX