Publications

Empirical Inference Human Aspects of Machine Learning Conference Paper Hermite Polynomial Features for Private Data Generation Vinaroz*, M., Charusaie*, M., Harder, F., Adamczewski, K., Park, M. J. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:22300-22324, Proceedings of Machine Learning Research, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Indirect Active Learning Singh, S. ICML Workshop on Adaptive Experimental Design and Active Learning in the Real World (ReALML), July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Kernel interpolation in Sobolev spaces is not consistent in low dimensions Buchholz, S. In Proceedings of 35th Conference on Learning Theory (COLT), 178:3410-3440, Proceedings of Machine Learning Research, (Editors: Loh, Po-Ling and Raginsky, Maxim), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Ph.D. Thesis Learning and Using Causal Knowledge: A Further Step Towards a Higher-Level Intelligence Huang, B. Carnegie Mellon University, July 2022, external supervision (Published) BibTeX

Empirical Inference Conference Paper On the Adversarial Robustness of Causal Algorithmic Recourse Dominguez-Olmedo, R., Karimi, A., Schölkopf, B. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:5324-5342, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance Ni, J., Jin, Z., Freitag, M., Sachan, M., Schölkopf, B. In Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), :5303-5320, (Editors: Marine Carpuat and Marie-Catherine de Marneffe and Iván Vladimir Meza Ruı́z), Association for Computational Linguistics, July 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Preconditioning for Scalable Gaussian Process Hyperparameter Optimization Wenger, J., Pleiss, G., Hennig, P., Cunningham, J., Gardner, J. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:23751-23780, (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, July 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Probabilistic ODE Solutions in Millions of Dimensions Krämer, N., Bosch, N., Schmidt, J., Hennig, P. Proceedings of the 39th International Conference on Machine Learning (ICML), 162:11634-11649, Proceedings of Machine Learning Research , (Editors: Chaudhuri, Kamalika and Jegelka, Stefanie and Song, Le and Szepesvari, Csaba and Niu, Gang and Sabato, Sivan), PMLR, 39th International Conference on Machine Learning (ICML 2022) , July 2022 (Published) URL BibTeX

Empirical Inference Article The Achievement Motive in the Brain: BOLD Responses to Pictures of Challenging Activities Predicted by Implicit Versus Explicit Achievement Motives Quirin, M., Loktyushin, A., Küstermann, E., Kuhl, J. Frontiers in Psychology, 13:845910, July 2022 (Published) DOI BibTeX

Probabilistic Learning Group Empirical Inference Conference Paper Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making Rateike, M., Majumdar, A., Mineeva, O., Gummadi, K. P., Valera, I. In FAccT ’22: 2022 ACM Conference on Fairness, Accountability, and Transparency, :1421-1433, ACM, New York, NY, 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022), June 2022 (Published) DOI BibTeX

Empirical Inference Learning and Dynamical Systems Conference Paper A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles Ma, H., Büchler, D., Schölkopf, B., Muehlebach, M. Proceedings of Robotics: Science and Systems XVIII (R:SS 2022), 18, (Editors: Kris Hauser, Dylan Shell, and Shoudong Huang), Robotics: Science and Systems XVIII, June 2022 (Published) PDF DOI URL BibTeX

Empirical Inference Conference Paper Attention Consistency on Visual Corruptions for Single-Source Domain Generalization Cugu, I., Mancini, M., Chen, Y., Akata, Z. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), :4164-4173, IEEE, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2022) , June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language Mercea, O., Riesch, L., Koepke, A. S., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :10553-10563, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Article Combination of Whole-Body Baseline CT Radiomics and Clinical Parameters to Predict Response and Survival in a Stage-IV Melanoma Cohort Undergoing Immunotherapy Peisen, F., Hänsch, A., Hering, A., Brendlin, A. S., Afat, S., Nikolaou, K., Gatidis, S., Eigentler, T., Amaral, T., Moltz, J. H., et al. Cancers, 14(12):2992, June 2022 (Published) DOI BibTeX

Empirical Inference Master Thesis Independent Mechanism Analysis in High-Dimensional Observation Spaces Ghosh, S. ETH Zurich, Switzerland, June 2022 (Published) BibTeX

Empirical Inference Conference Paper Integrating Language Guidance into Vision-based Deep Metric Learning Roth, K., Vinyals, O., Akata, Z. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , :16177-16189, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) , June 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning Karthik, S., Mancini, M., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :9336-9345, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Large Loss Matters in Weakly Supervised Multi-Label Classification Kim*, Y., Kim*, J. M., Akata, Z., Lee, J. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :14156-14165, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) , June 2022, *equal contribution (Published) arXiv DOI URL BibTeX

Empirical Inference Autonomous Learning Conference Paper Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers Zietlow, D., Lohaus, M., Balakrishnan, G., Kleindessner, M., Locatello, F., Schölkopf, B., Russell, C. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), :10410-10421, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Non-isotropy Regularization for Proxy-based Deep Metric Learning Roth, K., Vinyals, O., Akata, Z. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :7420-7430, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Probabilistic Compositional Embeddings for Multimodal Image Retrieval Neculai, A., Chen, Y., Akata, Z. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), :4546-4556, IEEE, June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Revisiting Random Channel Pruning for Neural Network Compression Li, Y., Adamczewski, K., Li, W., Gu, S., Timofte, R., Van Gool, L. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :191-201, EEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022) , June 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Article T2 mapping for the characterization of prostate lesions Hepp, T., Kalmbach, L., Kolb, M., Martirosian, P., Hilbert, T., Thaiss, W. M., Notohamiprodjo, M., Bedke, J., Nikolaou, K., Stenzl, A., et al. World Journal of Urology, 40(6):1455–1461, June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Towards Principled Disentanglement for Domain Generalization Zhang, H., Zhang, Y., Liu, W., Weller, A., Schölkopf, B., Xing, E. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :8024-8034, June 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Uniform Priors for Data-Efficient Learning Sinha, S., Roth, K., Goyal, A., Ghassemi, M., Akata, Z., Larochelle, H., Garg, A. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), :4016-4027, IEEE, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2022), June 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning Xu, W., Xian, Y., Wang, J., Schiele, B., Akata, Z. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), :9316-9325, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2022), June 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Article Attribute Prototype Network for Any-Shot Learning Xu, W., Xian, Y., Wang, J., Schiele, B., Akata, Z. International Journal of Computer Vision, 130(7):1735-1753, May 2022 (Published) DOI BibTeX

Empirical Inference Article Complex interlinkages, key objectives and nexuses amongst the Sustainable Development Goals and climate change: a network analysis Laumann, F., von Kügelgen, J., Kanashiro Uehara, T. H., Barahona, M. The Lancet Planetary Health, 6(5):e422-e430, May 2022 (Published) DOI BibTeX

Empirical Inference Conference Paper Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang Keidar*, D., Opedal*, A., Jin, Z., Sachan, M. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 1:1422-1442, (Editors: Smaranda Muresan and Preslav Nakov and Aline Villavicencio), Association for Computational Linguistics, May 2022, *equal contribution (Published) arXiv URL BibTeX

Empirical Inference Article The unpopular Package: A Data-driven Approach to Detrending TESS Full-frame Image Light Curves Hattori, S., Foreman-Mackey, D., Hogg, D. W., Montet, B. T., Angus, R., Pritchard, T. A., Curtis, J. L., Schölkopf, B. The Astronomical Journal, 163(6), May 2022 (Published) arXiv DOI URL BibTeX

Empirical Inference Conference Paper Adversarial Robustness Through the Lens of Causality Zhang, Y., Gong, M., Liu, T., Niu, G., Tian, X., Han, B., Schölkopf, B., Zhang, K. The Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations (ICLR 2022), April 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations Besserve, M., Shajarisales, N., Janzing, D., Schölkopf, B. Proceedings of the First Conference on Causal Learning and Reasoning, 177:110-143, Proceedings of Machine Learning Research, (Editors: Schölkopf, Bernhard and Uhler, Caroline and Zhang, Kun), PMLR, 1st Conference on Causal Learning and Reasoning (CLeaR 2022), April 2022 (Published) PDF URL BibTeX

Empirical Inference Conference Paper Coordination Among Neural Modules Through a Shared Global Workspace Goyal, A., Didolkar, A. R., Lamb, A., Badola, K., Ke, N. R., Rahaman, N., Binas, J., Blundell, C., Mozer, M. C., Bengio, Y. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Evaluating Model-Based Planning and Planner Amortization for Continuous Control Byravan, A., Hasenclever, L., Trochim, P., Mirza, M., Ialongo, A. D., Tassa, Y. A. J. T., Abdolmaleki, A., Heess, N., Merel, J., Riedmiller, M. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper GATSBI: Generative Adversarial Training for Simulation-Based Inference Ramesh, P., Lueckmann, J., Boelts, J., Tejero-Cantero, A., Greenberg, D. S., Goncalves, P. J., Macke, J. H. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR 2022), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Group equivariant neural posterior estimation Dax, M., Green, S. R., Gair, J., Deistler, M., Schölkopf, B., Macke, J. H. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios Shaj, V., Büchler, D., Sonker, R., Becker, P., Neumann, G. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Invariant Causal Representation Learning for Out-of-Distribution Generalization Lu, C., Wu, Y., Hernández-Lobato, J. M., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Article Listening to Bluetooth beacons for epidemic risk mitigation Barthe, G., De Viti, R., Druschel, P., Garg, D., Gomez-Rodriguez, M., Ingo, P., Kremer, H., Lentz, M., Lorch, L., Mehta, A., et al. Scientific Reports, 12(1):article no. 5558, April 2022 (Published) medRxiv DOI BibTeX

Empirical Inference Conference Paper POETREE: Interpretable Policy Learning with Adaptive Decision Trees Pace, A., Chand, A., van der Schaar, M. 10th International Conference on Learning Representations (ICLR) , April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Phenomenology of Double Descent in Finite-Width Neural Networks Singh, S. P., Lucchi, A., Hofmann, T., Schölkopf, B. The Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations, April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Pre-training Molecular Graph Representation with 3D Geometry Liu, S., Wang, H., Liu, W., Lasenby, J., Guo, H., Tang, J. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Proceedings Proceedings of the First Conference on Causal Learning and Reasoning (CLeaR 2022) Schölkopf, B., Uhler, C., Zhang, K. 177, Proceedings of Machine Learning Research, PMLR, April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration Eastwood, C., Mason, I., Williams, C., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) arXiv URL BibTeX

Empirical Inference Conference Paper SphereFace2: Binary Classification is All You Need for Deep Face Recognition Wen*, Y., Liu*, W., Weller, A., Raj, B., Singh, R. 10th International Conference on Learning Representations (ICLR), April 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper The Role of Pretrained Representations for the OOD Generalization of RL Agents Träuble*, F., Dittadi*, A., Wüthrich, M., Widmaier, F., Gehler, P., Winther, O., Locatello, F., Bachem, O., Schölkopf, B., Bauer, S. The Tenth International Conference on Learning Representations (ICLR 2022), International Conference on Learning Representations (ICLR 2022), April 2022, *equal contribution (Published) URL BibTeX

Empirical Inference Conference Paper Variational methods for simulation-based inference Glöckler, M., Deistler, M., Macke, J. H. International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper Visual Representation Learning Does Not Generalize Strongly Within the Same Domain Schott, L., von Kügelgen, J., Träuble, F., Gehler, P., Russell, C., Bethge, M., Schölkopf, B., Locatello, F., Brendel, W. The Tenth International Conference on Learning Representations (ICLR 2022), 10th International Conference on Learning Representations (ICLR), April 2022 (Published) URL BibTeX

Empirical Inference Conference Paper You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction Makansi, O., von Kügelgen, J., Locatello, F., Gehler, P., Janzing, D., Brox, T., Schölkopf, B. 10th International Conference on Learning Representations (ICLR), April 2022 (Published) arXiv URL BibTeX

Statistical Learning Theory Empirical Inference Conference Paper A Bandit Model for Human-Machine Decision Making with Private Information and Opacity Bordt, S., von Luxburg, U. In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 151:7300-7319, Proceedings of Machine Learning Research, (Editors: Camps-Valls, Gustau and Ruiz, Francisco J. R. and Valera, Isabel), PMLR, March 2022 (Published) URL BibTeX

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