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Empirical Inference Members Publications

Members

Empirical Inference
Krikamol Muandet
Research Group Leader
Empirical Inference
Jonas M. Kübler
  • Doctoral Researcher
Empirical Inference
Junhyung Park
  • Doctoral Researcher
Empirical Inference
Wittawat Jitkrittum

Publications

Empirical Inference Conference Paper The Inductive Bias of Quantum Kernels Kübler*, J. M., Buchholz*, S., Schölkopf, B. Advances in Neural Information Processing Systems 34 (NeurIPS 2021), 12661-12673, (Editors: M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan), Curran Associates, Inc., 35th Annual Conference on Neural Information Processing Systems, December 2021, *equal contribution (Published) arXiv URL 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 A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings Park, J., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 21247-21259, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Learning Kernel Tests Without Data Splitting Kübler, J. M., Jitkrittum, W., Schölkopf, B., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 6245-6255, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX
Empirical Inference Conference Paper MATE: Plugging in Model Awareness to Task Embedding for Meta Learning Chen, X., Wang, Z., Tang, S., Muandet, K. Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 11865-11877, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Kernel Conditional Moment Test via Maximum Moment Restriction Muandet, K., Jitkrittum, W., Kübler, J. M. Proceedings of the 36th International Conference on Uncertainty in Artificial Intelligence (UAI), 124:41-50, Proceedings of Machine Learning Research, (Editors: Jonas Peters and David Sontag), PMLR, August 2020 (Published) URL BibTeX
Empirical Inference Conference Paper Kernel Conditional Density Operators Schuster, I., Mollenhauer, M., Klus, S., Muandet, K. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 108:993-1004, Proceedings of Machine Learning Research, (Editors: Silvia Chiappa and Roberto Calandra), PMLR, June 2020 (Published) URL BibTeX
Empirical Inference Article An Adaptive Optimizer for Measurement-Frugal Variational Algorithms Kübler, J. M., Arrasmith, A., Cincio, L., Coles, P. J. Quantum, 4, 2020 (Published) DOI URL BibTeX
Empirical Inference Article Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces Klus, S., Schuster, I., Muandet, K. Journal of Nonlinear Science, 30(1):283-315, 2019 (Published) DOI BibTeX
Empirical Inference Article Quantum mean embedding of probability distributions Kübler, J. M., Muandet, K., Schölkopf, B. Physical Review Research, 1(3):article no. 033159, American Physical Society, 2019 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Differentially Private Database Release via Kernel Mean Embeddings Balog, M., Tolstikhin, I., Schölkopf, B. Proceedings of the 35th International Conference on Machine Learning (ICML), 80:423-431, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (Published) URL BibTeX
Empirical Inference Article Kernel-based tests for joint independence Pfister, N., Bühlmann, P., Schölkopf, B., Peters, J. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 80(1):5-31, 2018 (Published) DOI BibTeX
Empirical Inference Article Quantum machine learning: a classical perspective Ciliberto, C., Herbster, M., Ialongo, A. D., Pontil, M., Rocchetto, A., Severini, S., Wossnig, L. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 474(2209):article no. 20170551, 2018 (Published) DOI URL BibTeX
Empirical Inference Article Kernel Mean Embedding of Distributions: A Review and Beyond Muandet, K., Fukumizu, K., Sriperumbudur, B., Schölkopf, B. Foundations and Trends in Machine Learning, 10(1-2):1-141, 2017 DOI BibTeX
Empirical Inference Conference Paper Consistent Kernel Mean Estimation for Functions of Random Variables Simon-Gabriel*, C. J., Ścibior*, A., Tolstikhin, I., Schölkopf, B. Advances in Neural Information Processing Systems 29 (NIPS 2016), 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 (Published) URL BibTeX