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Empirical Inference Conference Paper A Measure-Theoretic Axiomatisation of Causality Park, J., Buchholz, S., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:28510-28540, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Beyond Good Intentions: Reporting the Research Landscape of NLP for Social Good Gonzalez*, F., Jin*, Z., Schölkopf, B., Hope, T., Sachan, M., Mihalcea, R. Findings of the Association for Computational Linguistics: EMNLP 2023, 415-438, (Editors: Houda Bouamor and Juan Pino and Kalika Bali), Association for Computational Linguistics, December 2023, *equal contribution (Published) DOI BibTeX
Empirical Inference Conference Paper CLadder: Assessing Causal Reasoning in Language Models Jin*, Z., Chen*, Y., Leeb*, F., Gresele*, L., Kamal, O., Lyu, Z., Blin, K., Gonzalez, F., Kleiman-Weiner, M., Sachan, M., et al. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:31038-31065, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *main contributors (Published) URL BibTeX
Empirical Inference Conference Paper Can semi-supervised learning use all the data effectively? A lower bound perspective Tifrea*, A., Yüce*, G., Sanyal, A., Yang, F. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:21960-21982, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Causal Component Analysis Liang, W., Kekić, A., von Kügelgen, J., Buchholz, S., Besserve, M., Gresele*, L., Schölkopf*, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:32481-32520, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *shared last author (Published) URL BibTeX
Empirical Inference Conference Paper Causal Modeling with Stationary Diffusions Lorch, L., Krause*, A., Schölkopf*, B. Causal Representation Learning Workshop at NeurIPS 2023, December 2023, *equal supervision (Published) URL BibTeX
Empirical Inference Conference Paper Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data Guo*, S., Tóth*, V., Schölkopf, B., Huszár, F. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:36463-36475, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Flow Matching for Scalable Simulation-Based Inference Wildberger*, J., Dax*, M., Buchholz*, S., Green, S. R., Macke, J. H., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:16837-16864, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Generalized Bayesian Inference for Scientific Simulators via Amortized Cost Estimation Gao*, R., Deistler*, M., Macke, J. H. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:80191-80219, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Eschenhagen, R., Immer, A., Turner, R., Schneider, F., Hennig, P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:33624-33655, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Endogenous Representation in Reinforcement Learning via Advantage Estimation Pan, H., Schölkopf, B. Causal Representation Learning Workshop at NeurIPS 2023, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Layer-wise Equivariances Automatically using Gradients van der Ouderaa, T., Immer, A., van der Wilk, M. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:28365-28377, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Linear Causal Representations from Interventions under General Nonlinear Mixing Buchholz*, S., Rajendran*, G., Rosenfeld, E., Aragam, B., Schölkopf, B., Ravikumar, P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:45419-45462, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference Confavreux*, B., Ramesh*, P., Goncalves, P. J., Macke, J. H., Vogels, T. P. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:13545-13558, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning Munkhoeva, M., Oseledets, I. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:60712-60723, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Nonparametric Identifiability of Causal Representations from Unknown Interventions von Kügelgen, J., Besserve, M., Liang, W., Gresele, L., Kekić, A., Bareinboim, E., Blei, D., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:48603-48638, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023 (Published) URL BibTeX
Empirical Inference Conference Paper On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series Kuznetsova*, R., Pace*, A., Burger*, M., Yèche, H., Rätsch, G. Proceedings of the 3rd Machine Learning for Health Symposium (ML4H) , 225:268-291, Proceedings of Machine Learning Research, (Editors: Hegselmann, S.and Parziale, A. and Shanmugam, D. and Tang, S. and Asiedu, M. N. and Chang, S. and Hartvigsen, T. and Singh, H.), PMLR, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper SE(3) Equivariant Augmented Coupling Flows Midgley*, L. I., Stimper*, V., Antorán*, J., Mathieu*, E., Schölkopf, B., Hernández-Lobato, J. M. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:79200-79225, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent Lin*, J. A., Antorán*, J., Padhy*, S., Janz, D., Hernández-Lobato, J. M., Terenin, A. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:36886-36912, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features Eastwood*, C., Singh*, S., Nicolicioiu, A. L., Vlastelica, M., von Kügelgen, J., Schölkopf, B. Advances in Neural Information Processing Systems 36 (NeurIPS 2023), 36:18291-18324, (Editors: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine), Curran Associates, Inc., 37th Annual Conference on Neural Information Processing Systems, December 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Learning and Dynamical Systems IT Services Robotics Conference Paper A Robust Open-source Tendon-driven Robot Arm for Learning Control of Dynamic Motions Guist, S., Schneider, J., Ma, H., Berenz, V., Martus, J., Grüninger, F., Muehlebach, M., Fiene, J., Schölkopf, B., Büchler, B. RoboLetics: Workshop on Robot Learning in Athletics @CoRL 2023, November 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Certified private data release for sparse Lipschitz functions Donhauser, K., Lokna, J., Sanyal, A., Boedihardjo, M., Hönig, R., Yang, F. TPDP 2023 - Theory and Practice of Differential Privacy, September 2023 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper How to make semi-private learning more effective Pinto, F., Hu, Y., Yang, F., Sanyal, A. TPDP 2023 - Theory and Practice of Differential Privacy, September 2023 (Published) arXiv URL BibTeX
Learning and Dynamical Systems Empirical Inference Conference Paper Causal Effect Estimation from Observational and Interventional Data Through Matrix Weighted Linear Estimators Kladny, K., von Kügelgen, J., Schölkopf, B., Muehlebach, M. Conference on Uncertainty in Artificial Intelligence, 216:1087-1097, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Socially Responsible Machine Learning: A Causal Perspective Moraffah, R., Karimi, A., Raglin, A., Liu, H. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 5819-5820, Association for Computing Machinery, August 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution Rangnekar, V., Upadhyay, U., Akata, Z., Banerjee, B. Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI), 216:1707-1717, Proceedings of Machine Learning Research, (Editors: Evans, Robin J. and Shpitser, Ilya), PMLR, August 2023 (Published) URL BibTeX
Empirical Inference Conference Paper A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models Stolfo, A., Jin, Z., Shridhar, K., Schölkopf, B., Sachan, M. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:545-561, (Editors: Rogers, A. and Boyd-Graber, J. L. and Okazaki, N.), Association for Computational Linguistics, July 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper Adversarial robustness of amortized Bayesian inference Glöckler, M., Deistler, M., Macke, J. H. Proceedings of 40th International Conference on Machine Learning (ICML) , 202:11493-11524, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Certifying Ensembles: A General Certification Theory with S-Lipschitzness Petrov, A., Eiras, F., Sanyal, A., Torr, P., Bibi, A. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:27709-27736, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) arXiv URL BibTeX
Empirical Inference Robust Machine Learning Conference Paper Desiderata for Representation Learning from Identifiability, Disentanglement, and Group-Structuredness Keurti, H., Reizinger, P., Schölkopf, B., Brendel, W. 2nd Annual Topology, Algebra, and Geometry in Machine Learning (TAG) at ICML 2023, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Diffusion Based Representation Learning Mittal*, S., Abstreiter*, K., Bauer, S., Schölkopf, B., Mehrjou, A. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:24963-24982, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Discrete Key-Value Bottleneck Träuble, F., Goyal, A., Rahaman, N., Mozer, M. C., Kawaguchi, K., Bengio, Y., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML) , 202:34431-34455, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Efficient Semiring-Weighted Earley Parsing Opedal, A., Zmigrod, R., Vieira, T., Cotterell, R., Eisner, J. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 1:3687-3713, (Editors: Anna Rogers, Jordan L. Boyd-Graber and Naoaki Okazaki), Association for Computational Linguistics, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Estimation Beyond Data Reweighting: Kernel Method of Moments Kremer, H., Nemmour, Y., Schölkopf, B., Zhu, J. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:17745-17783, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Flow Matching for Scalable Simulation-Based Inference Wildberger*, J. B., Dax*, M., Buchholz*, S., Green, S. R., Macke, J. H., Schölkopf, B. ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling, July 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Optics and Sensing Laboratory Software Workshop Conference Paper Glare Removal for Astronomical Images with High Local Dynamic Range Bastelaer, M., Kremer, H., Volchkov, V., Passy, J., Schölkopf, B. IEEE International Conference on Computational Photography (ICCP), 1-11, IEEE, July 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning Guist, S., Schneider, J., Dittrich, A., Berenz, V., Schölkopf, B., Büchler, D. Robotics: Science and Systems XIX, July 2023 (Published) Project Page DOI URL BibTeX
Empirical Inference Conference Paper Homomorphism AutoEncoder — Learning Group Structured Representations from Observed Transitions Keurti, H., Pan, H., Besserve, M., Grewe, B. F., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:16190-16215, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Membership Inference Attacks against Language Models via Neighbourhood Comparison Mattern, J., Mireshghallah, F., Jin, Z., Schölkopf, B., Sachan, M., Berg-Kirkpatrick, T. Findings of the Association for Computational Linguistics (ACL), 11330-11343, (Editors: Rogers, A. and Boyd-Graber, J. L. and Okazaki, N.), Association for Computational Linguistics, July 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper On Data Manifolds Entailed by Structural Causal Models Dominguez-Olmedo, R., Karimi, A., Arvanitidis, G., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:8188-8201, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper On the Identifiability and Estimation of Causal Location-Scale Noise Models Immer, A., Schultheiss, C., Vogt, J. E., Schölkopf, B., Bühlmann, P., Marx, A. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:14316-14332, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper On the Relationship Between Explanation and Prediction: A Causal View Karimi, A., Muandet, K., Kornblith, S., Schölkopf, B., Kim, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:15861-15883, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Robust Machine Learning Conference Paper Provably Learning Object-Centric Representations Brady*, J., Zimmermann*, R. S., Sharma, Y., Schölkopf, B., von Kügelen, J., Brendel, W. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:3038-3062, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), JMLR, Cambridge, MA, July 2023, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels Immer, A., van der Ouderaa, T. F. A., van der Wilk, M., Rätsch, G., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:14333-14352, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper Temporal Label Smoothing for Early Event Prediction Yèche*, H., Pace*, A., Rätsch, G., Kuznetsova, R. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:39913-39938, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper The Hessian perspective into the Nature of Convolutional Neural Networks Singh, S. P., Hofmann, T., Schölkopf, B. Proceedings of the 40th International Conference on Machine Learning (ICML), 202:31930-31968, Proceedings of Machine Learning Research, (Editors: A. Krause, E. Brunskill, K. Cho, B. Engelhardt, S. Sabato and J. Scarlett), PMLR, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper When Does Aggregating Multiple Skills with Multi-Task Learning Work? A Case Study in Financial NLP Ni, J., Jin, Z., Wang, Q., Sachan, M., Leippold, M. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:7465-7488, (Editors: Rogers, A. and Boyd-Graber, J. L. and Okazaki, N.), Association for Computational Linguistics, July 2023 (Published) DOI BibTeX
Empirical Inference Conference Paper World Models for Math Story Problems Opedal, A., Stoehr, N., Saparov, A., Sachan, M. Findings of the Association for Computational Linguistics (ACL), 9088-9115, (Editors: Anna Rogers, Jordan L. Boyd-Graber and Naoaki Okazaki), Association for Computational Linguistics, July 2023 (Published) URL BibTeX
Empirical Inference Conference Paper ALERT: Adapt Language Models to Reasoning Tasks Yu, P., Wang, T., Golovneva, O., AlKhamissi, B., Verma, S., Jin, Z., Ghosh, G., Diab, M., Celikyilmaz, A. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 1:1055-1081, (Editors: Rogers, Anna and Boyd-Graber, Jordan and Okazaki, Naoaki), Association for Computational Linguistics, July 2023 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Kim, Y., Kim, J. M., Jeong, J., Schmid, C., Akata, Z., Lee, J. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 3408-3417, IEEE, June 2023 (Published) DOI URL BibTeX