| Probabilistic line searches for stochastic optimization M Mahsereci, P Hennig Advances in Neural Information Processing Systems, 181-189, 2015 | 115 | 2015 |
| Probabilistic line searches for stochastic optimization M Mahsereci, P Hennig arXiv preprint arXiv:1502.02846, 2015 | 73 | 2015 |
| Early stopping without a validation set M Mahsereci, L Balles, C Lassner, P Hennig arXiv preprint arXiv:1703.09580, 2017 | 41 | 2017 |
| Emulation of physical processes with emukit A Paleyes, M Pullin, M Mahsereci, N Lawrence, J González Second Workshop on Machine Learning and the Physical Sciences, NeurIPS, 2019 | 27 | 2019 |
| Active Multi-Information Source Bayesian Quadrature A Gessner, J Gonzalez, M Mahsereci Conference on Uncertainty in Artificial Intelligence (UAI), 2019 | 15 | 2019 |
| Spectral analysis of PG 1034+ 001, the exciting star of Hewett 1 M Mahsereci, E Ringat, T Rauch, K Werner, JW Kruk IAU Symposium 283, 426-427, 2012 | 6 | 2012 |
| A Fourier State Space Model for Bayesian ODE Filters H Kersting, M Mahsereci arXiv preprint arXiv:2007.09118, 2020 | 4 | 2020 |
| Probabilistic Approaches to Stochastic Optimization M Mahsereci Eberhard Karls Universität Tübingen Tübingen, 2018 | 2 | 2018 |
| Automating stochastic optimization with gradient variance estimates L Balles, M Mahsereci, P Hennig ICML AutoML Workshop, 13, 2017 | 2 | 2017 |
| Dynamic Pruning of a Neural Network via Gradient Signal-to-Noise Ratio JN Siems, A Klein, C Archambeau, M Mahsereci 8th ICML Workshop on Automated Machine Learning (AutoML), 2021 | | 2021 |
| Spectral Analysis of PG 1034+ 001, the Exciting Star of Hewett 1 JW Kruk, M Mahsereci, E Ringat, T Rauch, K Werner | | 2011 |
