Mastakouri, A., Schölkopf, B., Janzing, D.
Selecting causal brain features with a single conditional independence test per feature
Advances in Neural Information Processing Systems 32, 33rd Annual Conference on Neural Information Processing Systems, December 2019 (conference) Accepted
Ozdenizci, O., Meyer, T., Wichmann, F., Peters, J., Schölkopf, B., Cetin, M., Grosse-Wentrup, M.
Neural Signatures of Motor Skill in the Resting Brain
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC 2019), October 2019 (conference) Accepted
Mastakouri, A., Schölkopf, B., Grosse-Wentrup, M.
Beta Power May Mediate the Effect of Gamma-TACS on Motor Performance
Engineering in Medicine and Biology Conference (EMBC), July 2019 (conference) Accepted
Geiger, P., Besserve, M., Winkelmann, J., Proissl, C., Schölkopf, B.
Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 49, (Editors: Amir Globerson and Ricardo Silva), AUAI Press, July 2019 (conference)
Kilbertus, N., Ball, P. J., Kusner, M. J., Weller, A., Silva, R.
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 213, (Editors: Amir Globerson and Ricardo Silva), AUAI Press, July 2019 (conference)
Gresele*, L., Rubenstein*, P. K., Mehrjou, A., Locatello, F., Schölkopf, B.
The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear ICA
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 53, (Editors: Amir Globerson and Ricardo Silva), AUAI Press, July 2019, *equal contribution (conference)
Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., Kersting, K., Ghahramani, Z.
Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 124, (Editors: Amir Globerson and Ricardo Silva), AUAI Press, July 2019 (conference)
Jitkrittum*, W., Sangkloy*, P., Gondal, M. W., Raj, A., Hays, J., Schölkopf, B.
Kernel Mean Matching for Content Addressability of GANs
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 3140-3151, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019, *equal contribution (conference)
Locatello, F., Bauer, S., Lucic, M., Raetsch, G., Gelly, S., Schölkopf, B., Bachem, O.
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 4114-4124, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019 (conference)
Zhang, Y., Tang, S., Muandet, K., Jarvers, C., Neumann, H.
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2019, June 2019 (inproceedings)
Jitkrittum*, W., Sangkloy*, P., Gondal, M. W., Raj, A., Hays, J., Schölkopf, B.
Generate Semantically Similar Images with Kernel Mean Matching
6th Workshop Women in Computer Vision (WiCV) (oral presentation), June 2019, *equal contribution (conference) Accepted
Akrour, R., Pajarinen, J., Peters, J., Neumann, G.
Projections for Approximate Policy Iteration Algorithms
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 181-190, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019 (conference)
Becker-Ehmck, P., Peters, J., van der Smagt, P.
Switching Linear Dynamics for Variational Bayes Filtering
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 553-562, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019 (conference)
Suter, R., Miladinovic, D., Schölkopf, B., Bauer, S.
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 6056-6065, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019 (conference)
Simon-Gabriel, C., Ollivier, Y., Bottou, L., Schölkopf, B., Lopez-Paz, D.
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 5809-5817, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019 (conference)
Ialongo, A. D., Van Der Wilk, M., Hensman, J., Rasmussen, C. E.
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models
In Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 2931-2940, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, June 2019 (inproceedings)
Gordon, J., Bronskill, J., Bauer, M., Nowozin, S., Turner, R.
Meta learning variational inference for prediction
7th International Conference on Learning Representations (ICLR), May 2019 (conference)
Lutter, M., Ritter, C., Peters, J.
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
7th International Conference on Learning Representations (ICLR), May 2019 (conference)
Schneider, F., Balles, L., Hennig, P.
DeepOBS: A Deep Learning Optimizer Benchmark Suite
7th International Conference on Learning Representations (ICLR), May 2019 (conference)
Miladinović*, D., Gondal*, M. W., Schölkopf, B., Buhmann, J. M., Bauer, S.
Disentangled State Space Models: Unsupervised Learning of Dynamics across Heterogeneous Environments
Deep Generative Models for Highly Structured Data Workshop at ICLR, May 2019, *equal contribution (conference)
Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., Rätsch, G.
SOM-VAE: Interpretable Discrete Representation Learning on Time Series
7th International Conference on Learning Representations (ICLR), May 2019 (conference)
Bauer, M., Mnih, A.
Resampled Priors for Variational Autoencoders
22nd International Conference on Artificial Intelligence and Statistics, April 2019 (conference) Accepted
von Kügelgen, J., Mey, A., Loog, M.
Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89, pages: 1361-1369, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)
Mroueh, Y., Sercu, T., Raj, A.
Sobolev Descent
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89, pages: 2976-2985, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)
Arvanitidis, G., Hauberg, S., Hennig, P., Schober, M.
Fast and Robust Shortest Paths on Manifolds Learned from Data
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89, pages: 1506-1515, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)
de Roos, F., Hennig, P.
Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89, pages: 1448-1457, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)
Wenk, P., Gotovos, A., Bauer, S., Gorbach, N., Krause, A., Buhmann, J. M.
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89, pages: 1351-1360, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)
Mehrjou, A., Jitkrittum, W., Schölkopf, B., Muandet, K.
Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces
2019 (conference) Submitted
Abbati*, G., Wenk*, P., Osborne, M. A., Krause, A., Schölkopf, B., Bauer, S.
AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs
Proceedings of the 36th International Conference on Machine Learning (ICML), 97, pages: 1-10, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Salakhutdinov, Ruslan), PMLR, 2019, *equal contribution (conference)
Lim, J. N., Yamada, M., Schölkopf, B., Jitkrittum, W.
Kernel Stein Tests for Multiple Model Comparison
Advances in Neural Information Processing Systems 32, 33rd Annual Conference on Neural Information Processing Systems, 2019 (conference) To be published
Hohmann, M. R., Hackl, M., Wirth, B., Zaman, T., Enficiaud, R., Grosse-Wentrup, M., Schölkopf, B.
MYND: A Platform for Large-scale Neuroscientific Studies
Proceedings of the 2019 Conference on Human Factors in Computing Systems (CHI), 2019 (conference) Accepted
Kanagawa, H., Jitkrittum, W., Mackey, L., Fukumizu, K., Gretton, A.
A Kernel Stein Test for Comparing Latent Variable Models
2019 (conference) Submitted
Ghosh*, P., Sajjadi*, M. S. M., Vergari, A., Black, M. J., Schölkopf, B.
From Variational to Deterministic Autoencoders
2019, *equal contribution (conference) Submitted
Liu, S., Kanamori, T., Jitkrittum, W., Chen, Y.
Fisher Efficient Inference of Intractable Models
Advances in Neural Information Processing Systems 32, 33rd Annual Conference on Neural Information Processing Systems, 2019 (conference) To be published
Simon-Gabriel*, C. J., Ścibior*, A., Tolstikhin, I., Schölkopf, B.
Consistent Kernel Mean Estimation for Functions of Random Variables
Advances in Neural Information Processing Systems 29, pages: 1732-1740, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016, *joint first authors (conference)
Bauer, M., van der Wilk, M., Rasmussen, C. E.
Understanding Probabilistic Sparse Gaussian Process Approximations
Advances in Neural Information Processing Systems 29, pages: 1533-1541, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)
Tolstikhin, I., Sriperumbudur, B. K., Schölkopf, B.
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels
Advances in Neural Information Processing Systems 29, pages: 1930-1938, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)
Parisi, S., Blank, A., Viernickel, T., Peters, J.
Local-utopia Policy Selection for Multi-objective Reinforcement Learning
In IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL), pages: 1-7, IEEE, December 2016 (inproceedings)
Pentina, A., Urner, R.
Lifelong Learning with Weighted Majority Votes
Advances in Neural Information Processing Systems 29, pages: 3612-3620, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)
Kontorovich, A., Sabato, S., Urner, R.
Active Nearest-Neighbor Learning in Metric Spaces
Advances in Neural Information Processing Systems 29, pages: 856-864, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)
Belousov, B., Neumann, G., Rothkopf, C., Peters, J.
Catching heuristics are optimal control policies
Advances in Neural Information Processing Systems 29, pages: 1426-1434, (Editors: D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett), Curran Associates, Inc., 30th Annual Conference on Neural Information Processing Systems, December 2016 (conference)
Ewerton, M., Maeda, G., Kollegger, G., Wiemeyer, J., Peters, J.
Incremental Imitation Learning of Context-Dependent Motor Skills
IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pages: 351-358, IEEE, November 2016 (conference)
Gomez-Gonzalez, S., Neumann, G., Schölkopf, B., Peters, J.
Using Probabilistic Movement Primitives for Striking Movements
16th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pages: 502-508, November 2016 (conference)
Koert, D., Maeda, G., Lioutikov, R., Neumann, G., Peters, J.
Demonstration Based Trajectory Optimization for Generalizable Robot Motions
IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pages: 351-358, IEEE, November 2016 (conference)
Huang, Y., Büchler, D., Koc, O., Schölkopf, B., Peters, J.
Jointly Learning Trajectory Generation and Hitting Point Prediction in Robot Table Tennis
16th IEEE-RAS International Conference on Humanoid Robots (Humanoids), pages: 650-655, November 2016 (conference)
Tanneberg, D., Paraschos, A., Peters, J., Rueckert, E.
Deep Spiking Networks for Model-based Planning in Humanoids
IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), pages: 656-661, IEEE, November 2016 (conference)
Maeda, G., Maloo, A., Ewerton, M., Lioutikov, R., Peters, J.
Anticipative Interaction Primitives for Human-Robot Collaboration
AAAI Fall Symposium Series. Shared Autonomy in Research and Practice, pages: 325-330, November 2016 (conference)
Lopez-Paz, D., Schölkopf, B., Bottou, L., Vapnik, V.
Unifying distillation and privileged information
International Conference on Learning Representations (ICLR), November 2016 (conference)
Xiao, L., Wang, J., Heidrich, W., Hirsch, M.
Learning High-Order Filters for Efficient Blind Deconvolution of Document Photographs
Computer Vision - ECCV 2016, Lecture Notes in Computer Science, LNCS 9907, Part III, pages: 734-749, (Editors: Bastian Leibe, Jiri Matas, Nicu Sebe and Max Welling), Springer, October 2016 (conference)
Sharma, D., Tanneberg, D., Grosse-Wentrup, M., Peters, J., Rueckert, E.
Adaptive Training Strategies for BCIs
Cybathlon Symposium, October 2016 (conference)