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Bernhard Schölkopf

Empirical Inference Director

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Office: N4.019 Max-Planck-Ring 4 72076 Tübingen +49 7071 601 551 [email protected]
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Empirical Inference Conference Paper Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals Ortu*, F., Jin*, Z., Doimo, D., Sachan, M., Cazzaniga, A., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , Volume 1, Long Papers:8420-8436, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Moûsai: Efficient Text-to-Music Diffusion Models Schneider, F., Kamal, O., Jin, Z., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:8050-8068, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024 (Published) URL BibTeX
Empirical Inference Conference Paper CausalCite: A Causal Formulation of Paper Citations Agrawal, I., Jin, Z., Mokhtarian, E., Guo, S., Chen, Y., Sachan, M., Schölkopf, B. Findings of the Association for Computational Linguistics (ACL), 8395-8410, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. ICML 2024 Next Generation of AI Safety Workshop (Oral), July 2024 (Published) arXiv PDF BibTeX
Learning and Dynamical Systems Empirical Inference Article Deep Backtracking Counterfactuals for Causally Compliant Explanations Kladny, K., Kügelgen, J. V., Schölkopf, B., Muehlebach, M. Transactions on Machine Learning Research, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Detecting and Identifying Selection Structure in Sequential Data Zheng, Y., Tang, Z., Qiu, Y., Schölkopf, B., Zhang, K. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:61498-61525, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? Opedal, A., Stolfo, A., Shirakami, H., Jiao, Y., Cotterell, R., Schölkopf, B., Saparov, A., Sachan, M. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:38762-38778, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Geometry-Aware Instrumental Variable Regression Kremer, H., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:25560-25582, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Products, Abstractions and Inclusions of Causal Spaces Buchholz, S., Park, J., Schölkopf, B. 40th Conference on Uncertainty in Artificial Intelligence (UAI), 244:430-449, Proceedings of Machine Learning Research, (Editors: Kiyavash, Negar and Mooij, Joris M.), PMLR, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Provable Privacy with Non-Private Pre-Processing Hu, Y., Sanyal, A., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:19402-19437, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
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Empirical Inference Conference Paper Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals Ortu*, F., Jin*, Z., Doimo, D., Sachan, M., Cazzaniga, A., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , Volume 1, Long Papers:8420-8436, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Moûsai: Efficient Text-to-Music Diffusion Models Schneider, F., Kamal, O., Jin, Z., Schölkopf, B. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 1: Long Papers:8050-8068, (Editors: Lun-Wei Ku and Andre Martins and Vivek Srikumar), Association for Computational Linguistics, August 2024 (Published) URL BibTeX
Empirical Inference Conference Paper CausalCite: A Causal Formulation of Paper Citations Agrawal, I., Jin, Z., Mokhtarian, E., Guo, S., Chen, Y., Sachan, M., Schölkopf, B. Findings of the Association for Computational Linguistics (ACL), 8395-8410, (Editors: Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek), Association for Computational Linguistics, August 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Accuracy on the wrong line: On the pitfalls of noisy data for OOD generalisation Sanyal, A., Hu, Y., Yu, Y., Ma, Y., Wang, Y., Schölkopf, B. ICML 2024 Next Generation of AI Safety Workshop (Oral), July 2024 (Published) arXiv PDF BibTeX
Learning and Dynamical Systems Empirical Inference Article Deep Backtracking Counterfactuals for Causally Compliant Explanations Kladny, K., Kügelgen, J. V., Schölkopf, B., Muehlebach, M. Transactions on Machine Learning Research, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Detecting and Identifying Selection Structure in Sequential Data Zheng, Y., Tang, Z., Qiu, Y., Schölkopf, B., Zhang, K. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:61498-61525, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners? Opedal, A., Stolfo, A., Shirakami, H., Jiao, Y., Cotterell, R., Schölkopf, B., Saparov, A., Sachan, M. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:38762-38778, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Geometry-Aware Instrumental Variable Regression Kremer, H., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:25560-25582, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
Empirical Inference Conference Paper Products, Abstractions and Inclusions of Causal Spaces Buchholz, S., Park, J., Schölkopf, B. 40th Conference on Uncertainty in Artificial Intelligence (UAI), 244:430-449, Proceedings of Machine Learning Research, (Editors: Kiyavash, Negar and Mooij, Joris M.), PMLR, July 2024 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Provable Privacy with Non-Private Pre-Processing Hu, Y., Sanyal, A., Schölkopf, B. Proceedings of the 41st International Conference on Machine Learning (ICML), 235:19402-19437, Proceedings of Machine Learning Research, (Editors: Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix), PMLR, July 2024 (Published) URL BibTeX
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