Publications

Empirical Inference Proceedings Proceedings of the 1st Workshop on NLP for Positive Impact Field, A., Prabhumoye, S., Sap, M., Jin, Z., Zhao, J., Brockett, C. Association for Computational Linguistics, August 2021 (Published) URL BibTeX

Empirical Inference Conference Paper A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization Campbell*, A., Chen*, W., Stimper*, V., Hernández-Lobato, J. M., Y., Z. Proceedings of 38th International Conference on Machine Learning (ICML), 139:1238-1248, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Article Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation Armanious, K., Abdulatif, S., Shi, W., Salian, S., Kustner, T., Weiskopf, D., Hepp, T., Gatidis, S., Yang, B. IEEE Transactions on Medical Imaging, 40(7):1778-1791, IEEE, July 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Algorithmic recourse in partially and fully confounded settings through bounding counterfactual effects von Kügelgen, J., Agarwal, N., Zeitler, J., Mastouri, A., Schölkopf, B. ICML 2021 Workshop on Algorithmic Recourse, July 2021 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients Carvalho, J., Tateo, D., Muratore, F., Peters, J. International Joint Conference on Neural Networks (IJCNN), :1-10, IEEE, Piscataway, NJ, July 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Bayesian Deep Learning via Subnetwork Inference Daxberger, E., Nalisnick, E., Allingham, J., Antorán, J., Hernández-Lobato, J. M. In Proceedings of 38th International Conference on Machine Learning (ICML), 139:2510-2521, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, 38th International Conference on Machine Learning (ICML 2021), July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Bayesian Quadrature on Riemannian Data Manifolds Fröhlich, C., Gessner, A., Hennig, P., Schölkopf, B., Arvanitidis, G. Proceedings of 38th International Conference on Machine Learning (ICML), 139:3459-3468, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning Sontakke, S., Mehrjou, A., Itti, L., Schölkopf, B. Proceedings of 38th International Conference on Machine Learning (ICML), 139:9848-9858, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning Urain, J., Anqi, L., Puze, L., D’eramo, C., Peters, J. Robotics: Science and Systems XVII (R:SS 2021), (Editors: Dylan A. Shell and Marc Toussaint and M. Ani Hsieh), July 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression Park, J., Shalit, U., Schölkopf, B., Muandet, K. Proceedings of 38th International Conference on Machine Learning (ICML), 139:8401-8412, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Convex Regularization in Monte-Carlo Tree Search Dam, T., D’Eramo, C., Peters, J., J., P. Proceedings of 38th International Conference on Machine Learning (ICML), 139:2365-2375, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers Schmidt, R. M., Schneider, F., Hennig, P. Proceedings of 38th International Conference on Machine Learning (ICML), 139:9367-9376, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Function Contrastive Learning of Transferable Meta-Representations Gondal, M. W., Joshi, S., Rahaman, N., Bauer, S., Wüthrich, M., Schölkopf, B. Proceedings of 38th International Conference on Machine Learning (ICML), 139:3755-3765, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper High-Dimensional Gaussian Process Inference with Derivatives de Ross, F., Gessner, A., Hennig, P. Proceedings of 38th International Conference on Machine Learning (ICML), 139:2535-2545, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, The 38th International Conference on Machine Learning (ICML 2021), July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel Two-Sample and Independence Tests for Non-Stationary Random Processes Laumann, F., von Kügelgen, J., Barahona, M. 7th International Conference on Time Series and Forecasting (ITISE 2021), July 2021 (Published) arXiv BibTeX

Empirical Inference Conference Paper Learnable Uncertainty under Laplace Approximations Kristiadi, A., Hein, M., Hennig, P. 37th International Conference on Uncertainty in Artificial Intelligence (UAI), 161:344-353, Proceedings of Machine Learning Research, (Editors: Cassio P. de Campos and Marloes H. Maathuis and Erik Quaeghebeur), AUAI Press, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Riemannian Manifolds for Geodesic Motion Skills Beik-Mohammadi, H., Hauberg, S., Arvanitidis, G., Neumann, G., Rozo, L. Robotics: Science and Systems XVII , (Editors: Dylan A. Shell and Marc Toussaint and M. Ani Hsieh), Robotics: Science and Systems 2021 (RSS 2021) , July 2021, * best student paper award (Published) DOI URL BibTeX

Empirical Inference Conference Paper Lie interventions in complex systems with cycles Besserve, M., Schölkopf, B. ICML 2021 Workshop on Neglected Assumptions in Causal Inference, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Necessary and sufficient conditions for causal feature selection in time series with latent common causes Mastakouri, A. A., Schölkopf, B., Janzing, D. Proceedings of 38th International Conference on Machine Learning (ICML), 139:7502-7511, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Neighborhood Contrastive Learning Applied to Online Patient Monitoring Yèche, H., Dresdner, G., Locatello, F., Hüser, M., Rätsch, G. Proceedings of 38th International Conference on Machine Learning, 139:11964-11974, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, The 38th International Conference on Machine Learning (ICML 2021), July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Neural Symbolic Regression that Scales Biggio*, L., Bendinelli*, T., Neitz, A., Lucchi, A., Parascandolo, G. Proceedings of 38th International Conference on Machine Learning (ICML 2021), 139:936-945, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, The 38th International Conference on Machine Learning (ICML 2021), July 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper On Disentangled Representations Learned From Correlated Data Träuble, F., Creager, E., Kilbertus, N., Locatello, F., Dittadi, A., Goyal, A., Schölkopf, B., Bauer, S. Proceedings of 38th International Conference on Machine Learning (ICML), 139:10401-10412, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction Mastouri, A., Zhu, Y., Gultchin, L., Korba, A., Silva, R., Kusner, M., Gretton, A., Muandet, K. Proceedings of 38th International Conference on Machine Learning (ICML), 139:7512-7523, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Representation Learning for Out-of-distribution Generalization in Reinforcement Learning Learning Träuble*, F., Dittadi*, A., Wüthrich, M., Widmaier, F., Gehler, P., Winther, O., Locatello, F., Bachem, O., Schölkopf, B., Bauer, S. ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) , ICML 2021 Workshop on Unsupervised Reinforcement Learning (ICML 2021) , July 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Robust Value Iteration for Continuous Control Tasks Lutter, M., Mannor, S., Peters, J., Fox, D., Garg, A. Robotics: Science and Systems XVII (R:SS 2021), (Editors: Dylan A. Shell and Marc Toussaint and M. Ani Hsieh), July 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Scalable Marginal Likelihood Estimation for Model Selection in Deep Learning Immer, A., Bauer, M., Fortuin, V., Rätsch, G., Khan, M. E. Proceedings of 38th International Conference on Machine Learning (ICML), 139:4563-4573, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Value Iteration in Continuous Actions, States and Time Lutter, M., Mannor, S., Peters, J., Fox, D., Garg, A. Proceedings of 38th International Conference on Machine Learning (ICML), 139:7224-7234, Proceedings of Machine Learning Research, (Editors: Meila, Marina and Zhang, Tong), PMLR, July 2021 (Published) URL BibTeX

Empirical Inference Article SKID RAW: Skill Discovery From Raw Trajectories Tanneberg, D., Ploeger, K., Rueckert, E., Peters, J. IEEE Robotics and Automation Letters, 6(3):4696-4703, IEEE, New York, NY, July 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Approximate Distributionally Robust Nonlinear Optimization with Application to Model Predictive Control: A Functional Approach Nemmour, Y., Schölkopf, B., Zhu, J. Proceedings of the 3rd Conference on Learning for Dynamics and Control (L4DC), 144:1255-1269, Proceedings of Machine Learning Research, (Editors: Jadbabaie, Ali and Lygeros, John and Pappas, George J. and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie N.), PMLR, June 2021 (Published) URL BibTeX

Empirical Inference Article Automated Morphometric Analysis of the Hip Joint on MRI from the German National Cohort Study Fischer, M., Walter, S. S., Hepp, T., Zimmer, M., Notohamiprodjo, M., Schick, F., Yang, B. Radiology: Artificial Intelligence, 3(5), June 2021 (Published) DOI BibTeX

Empirical Inference Ph.D. Thesis Causal Inference in Vision Meding, K. Eberhard Karls Universität Tübingen, Tübingen, June 2021 (Published) BibTeX

Empirical Inference Article Deep Learning-Based Automated Abdominal Organ Segmentation in the UK Biobank and German National Cohort Magnetic Resonance Imaging Studies Kart, T., Fischer, M., Küstner, T., Hepp, T., Bamberg, F., Winzeck, S., Glocker, B., Rueckert, D., Gatidis, S. Investigative Radiology, 56(6):401-408, June 2021 (Published) DOI BibTeX

Empirical Inference Article Discrimination of simple objects decoded from the output of retinal ganglion cells upon sinusoidal electrical stimulation Corna, A., Ramesh, P., Jetter, F., Lee, M., Macke, J. H., Zeck, G. Journal of Neural Engineering, 18(4), June 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Distilling Audio-Visual Knowledge by Compositional Contrastive Learning Chen, Y., Xian, Y., Koepke, A. S., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :7016-7025, Computer Vision Foundation / IEEE, CVPR, June 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Decision Trees Recurrently Through Communication Alaniz, S., Marcos, D., Schiele, B., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :13518-13527, Computer Vision Foundation / IEEE, CVPR, June 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Learning Graph Embeddings for Compositional Zero-shot Learning Naeem, M. F., Xian, Y., Tombari, F., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :953-962, Computer Vision Foundation / IEEE, CVPR, June 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Neural Lyapunov Redesign Mehrjou, A., Ghavamzadeh, M., Schölkopf, B. Proceedings of the 3rd Conference on Learning for Dynamics and Control (L4DC), 144:459-470, Proceedings of Machine Learning Research, (Editors: Jadbabaie, Ali and Lygeros, John and Pappas, George J. and Parrilo, Pablo A. and Recht, Benjamin and Tomlin, Claire J. and Zeilinger, Melanie N.), PMLR, 3rd Annual Conference on Learning for Dynamics and Control (L4DC) , June 2021 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Optimization Algorithms for Machine Learning Raj, A. University of Tübingen, Germany, June 2021 (Published) BibTeX

Empirical Inference Conference Paper Orthogonal Over-Parameterized Training Liu, W., Lin, R., Liu, Z., Rehg, J., Paull, L., Xiong, L., Song, L., Weller, A. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :7251-7260, Computer Vision Foundation / IEEE, CVPR, June 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Uncertainty-Based Biological Age Estimation of Brain MRI Scans Armanious, K., Abdulatif, S., Shi, W., Hepp, T., Gatidis, S., Yang, B. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), :1100-1104, IEEE, June 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning Ahmed*, O., Träuble*, F., Goyal, A., Neitz, A., Bengio, Y., Schölkopf, B., Wüthrich, M., Bauer, S. In 9th International Conference on Learning Representations (ICLR 2021), :20, ICLR, Wien, International Conference on Learning Representations (ICLR), May 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper A teacher-student framework to distill future trajectories Neitz*, A., Parascandolo*, G., Schölkopf, B. In 9th International Conference on Learning Representations (ICLR), May 2021, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Fast And Slow Learning Of Recurrent Independent Mechanisms Madan, K., Ke, N. R., Goyal, A., Schölkopf, B., Bengio, Y. In 9th International Conference on Learning Representations (ICLR), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Learning explanations that are hard to vary Parascandolo*, G., Neitz*, A., Orvieto, A., Gresele, L., Schölkopf, B. In 9th International Conference on Learning Representations (ICLR), May 2021, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Predicting Infectiousness for Proactive Contact Tracing Bengio, Y., Gupta, P., Maharaj, T., Rahaman, N., Weiss, M., Deleu, T., Muller, E. B., Qu, M., Schmidt, V., St-Charles, P., et al. In The Ninth International Conference on Learning Representations (ICLR 2021), 9th International Conference on Learning Representations (ICLR), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator Paulus, M. B., Maddison, C. J., Krause, A. In The Ninth International Conference on Learning Representations , 9th International Conference on Learning Representations (ICLR 2021), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Spatially Structured Recurrent Modules Rahaman, N., Goyal, A., Gondal, M. W., Wüthrich, M., Bauer, S., Sharma, Y., Bengio, Y., Schölkopf, B. In 9th International Conference on Learning Representations (ICLR), May 2021 (Published) URL BibTeX

Empirical Inference Conference Paper Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk Watson, J., Peters, J. American Control Conference (ACC), :1231-1236, IEEE, ACC, May 2021 (Published) DOI BibTeX

Empirical Inference Conference Paper Contextual Latent-Movements Off-Policy Optimization for Robotic Manipulation Skills Tosatto, S., Chalvatzaki, G., Peters, J. 2021 IEEE International Conference on Robotics and Automation (ICRA), :10815-10821, IEEE, IEEE International Conference on Robotics and Automation (ICRA 2021) , May 2021 (Published) DOI URL BibTeX

Empirical Inference Conference Paper Differentiable Physics Models for Real-world Offline Model-based Reinforcement Learning Lutter, M., Silberbauer, J., Watson, J., Peters, J. IEEE International Conference on Robotics and Automation (ICRA), :4163-4170, IEEE, May 2021 (Published) DOI URL BibTeX

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