Follow
Maren Mahsereci
Maren Mahsereci
Amazon Research
Verified email at amazon.com
Title
Cited by
Cited by
Year
Probabilistic line searches for stochastic optimization
M Mahsereci, P Hennig
Advances in Neural Information Processing Systems, 181-189, 2015
1512015
Probabilistic line searches for stochastic optimization
M Mahsereci, P Hennig
Advances in Neural Information Processing Systems 28, 2015
1512015
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
992019
Early stopping without a validation set
M Mahsereci, L Balles, C Lassner, P Hennig
arXiv preprint arXiv:1703.09580, 2017
982017
Active Multi-Information Source Bayesian Quadrature
A Gessner, J Gonzalez, M Mahsereci
Conference on Uncertainty in Artificial Intelligence (UAI), 2019
282019
ProbNum: Probabilistic Numerics in Python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
92021
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
62012
A Fourier State Space Model for Bayesian ODE Filters
H Kersting, M Mahsereci
arXiv preprint arXiv:2007.09118, 2020
52020
ProbNum: probabilistic numerics in python,(2021)
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 0
5
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
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
32021
Emukit: A Python toolkit for decision making under uncertainty
A Paleyes, M Mahsereci, ND Lawrence
Python in Science Conference, 68-75, 2023
22023
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
12023
Invariant Priors for Bayesian Quadrature
M Naslidnyk, J Gonzalez, M Mahsereci
arXiv preprint arXiv:2112.01578, 2021
12021
Probabilistic Numerical Methods-From Theory to Implementation (Dagstuhl Seminar 21432)
P Hennig, ICF Ipsen, M Mahsereci, T Sullivan
Dagstuhl Reports 11 (9), 2022
2022
On acquisition functions for active multi-source Bayesian quadrature
A Gessner, M Mahsereci, J González
2018
Spectral Analysis of PG 1034+ 001, the Exciting Star of Hewett 1
JW Kruk, M Mahsereci, E Ringat, T Rauch, K Werner
2011
The system can't perform the operation now. Try again later.
Articles 1–18