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Empirical Inference Probabilistic Numerics Conference Paper Convergence Guarantees for Adaptive Bayesian Quadrature Methods Kanagawa, M., Hennig, P. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 6234-6245, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX
Empirical Inference Probabilistic Numerics Conference Paper Limitations of the empirical Fisher approximation for natural gradient descent Kunstner, F., Hennig, P., Balles, L. Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 4158-4169, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (Published) URL BibTeX
Probabilistic Numerics Article Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective Tronarp, F., Kersting, H., Särkkä, S., Hennig, P. Statistics and Computing, 29(6):1297-1315, 2019 (Published) DOI URL BibTeX
Probabilistic Numerics Conference Paper Active Multi-Information Source Bayesian Quadrature Gessner, A. G. J. M. M. Proceedings 35TH UNCERTAINTY IN ARTIFICIAL INTELLIGENCE CONFERENCE (UAI 2019), 712-721, (Editors: Adams, RP; Gogate, V), UAI, July 2019 (Published) URL BibTeX
Probabilistic Numerics Empirical Inference Conference Paper DeepOBS: A Deep Learning Optimizer Benchmark Suite Schneider, F., Balles, L., Hennig, P. 7th International Conference on Learning Representations (ICLR), May 2019 (Published) URL BibTeX
Probabilistic Numerics Empirical Inference Conference Paper Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization de Roos, F., Hennig, P. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89:1448-1457, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (Published) PDF URL BibTeX
Probabilistic Numerics Empirical Inference Conference Paper Fast and Robust Shortest Paths on Manifolds Learned from Data Arvanitidis, G., Hauberg, S., Hennig, P., Schober, M. Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), 89:1506-1515, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (Published) PDF URL BibTeX
Empirical Inference Probabilistic Numerics Article Dense connectomic reconstruction in layer 4 of the somatosensory cortex Motta, A., Berning, M., Boergens, K. M., Staffler, B., Beining, M., Loomba, S., Hennig, P., Wissler, H., Helmstaedter, M. Science, 366(6469):eaay3134, 2019 (Published) DOI BibTeX
Probabilistic Numerics Article On the positivity and magnitudes of Bayesian quadrature weights Karvonen, T., Kanagawa, M., Särkä, S. Statistics and Computing, 29:1317-1333, 2019 (Published) DOI BibTeX
Probabilistic Numerics Article Probabilistic Linear Solvers: A Unifying View Bartels, S., Cockayne, J., Ipsen, I., Hennig, P. Statistics and Computing, 29(6):1249-1263, 2019 (Published) DOI URL BibTeX
Empirical Inference Probabilistic Numerics Article Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective Tronarp, F., Kersting, H., Särkkä, S. H. P. Statistics and Computing, 29(6):1297-1315, 2019 (Published) DOI BibTeX