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Maren Mahsereci
Maren Mahsereci
Amazon Research
Dirección de correo verificada de amazon.com
Título
Citado por
Citado por
Año
Probabilistic line searches for stochastic optimization
M Mahsereci, P Hennig
Journal of Machine Learning Research 18 (119), 1-59, 2017
1512017
Early stopping without a validation set
M Mahsereci, L Balles, C Lassner, P Hennig
arXiv preprint arXiv:1703.09580, 2017
1092017
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
1052019
Active Multi-Information Source Bayesian Quadrature
A Gessner, J Gonzalez, M Mahsereci
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
302019
ProbNum: Probabilistic Numerics in Python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
122021
A Fourier State Space Model for Bayesian ODE Filters
H Kersting, M Mahsereci
arXiv preprint arXiv:2007.09118, 2020
52020
Spectral analysis of PG 1034+ 001, the exciting star of Hewett 1
M Mahsereci, E Ringat, T Rauch, K Werner, JW Kruk
Planetary Nebulae: An Eye to the Future, Proceedings of the International …, 2012
52012
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
42021
Probabilistic Approaches to Stochastic Optimization
M Mahsereci
Universität Tübingen, 2018
42018
Automating stochastic optimization with gradient variance estimates
L Balles, M Mahsereci, P Hennig
ICML AutoML Workshop, 13, 2017
42017
ProbNum: probabilistic numerics in python,(2021)
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 0
4
Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood
M Naslidnyk, M Kanagawa, T Karvonen, M Mahsereci
arXiv preprint arXiv:2307.07466, 2023
22023
Emukit: A Python toolkit for decision making under uncertainty
A Paleyes, M Mahsereci, ND Lawrence
Proceedings of the Python in Science Conference, 2023
22023
Invariant Priors for Bayesian Quadrature
M Naslidnyk, J Gonzalez, M Mahsereci
arXiv preprint arXiv:2112.01578, 2021
22021
What Apples Tell About Oranges: Connecting Pruning Masks and Hessian Eigenspaces
A Fernandez, F Schneider, M Mahsereci, P Hennig
2023
What Apples Tell About Oranges: Connecting Pruning Masks and Hessian Eigenspaces
P Hennig, M Mahsereci, F Schneider, A Fernandez
OpenReview. net, 2023
2023
Probabilistic Numerical Methods-From Theory to Implementation (Dagstuhl Seminar 21432)
P Hennig, ICF Ipsen, M Mahsereci, T Sullivan
Schloss-Dagstuhl-Leibniz Zentrum für Informatik, 2022
2022
On acquisition functions for active multi-source Bayesian quadrature
A Gessner, M Mahsereci, J González
2018
Probabilistic line searches for stochastic optimization
M Mahsereci, P Hennig
Advances in Neural Information Processing Systems, 181-189, 2015
2015
Spectral Analysis of PG 1034+ 001, the Exciting Star of Hewett 1
JW Kruk, M Mahsereci, E Ringat, T Rauch, K Werner
2011
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20