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Maren Mahsereci
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2020 – today
- 2021
- [i9]Andrei Paleyes, Mark Pullin, Maren Mahsereci, Cliff McCollum, Neil D. Lawrence, Javier González:
Emulation of physical processes with Emukit. CoRR abs/2110.13293 (2021) - [i8]Masha Naslidnyk, Javier Gonzalez, Maren Mahsereci:
Invariant Priors for Bayesian Quadrature. CoRR abs/2112.01578 (2021) - [i7]Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig:
ProbNum: Probabilistic Numerics in Python. CoRR abs/2112.02100 (2021) - [i6]Philipp Hennig, Ilse C. F. Ipsen, Maren Mahsereci, Tim Sullivan:
Probabilistic Numerical Methods - From Theory to Implementation (Dagstuhl Seminar 21432). Dagstuhl Reports 11(9): 102-119 (2021) - 2020
- [i5]Hans Kersting, Maren Mahsereci:
A Fourier State Space Model for Bayesian ODE Filters. CoRR abs/2007.09118 (2020)
2010 – 2019
- 2019
- [c2]Alexandra Gessner, Javier Gonzalez, Maren Mahsereci:
Active Multi-Information Source Bayesian Quadrature. UAI 2019: 712-721 - [i4]Alexandra Gessner, Javier Gonzalez, Maren Mahsereci:
Active Multi-Information Source Bayesian Quadrature. CoRR abs/1903.11331 (2019) - 2017
- [j1]Maren Mahsereci, Philipp Hennig:
Probabilistic Line Searches for Stochastic Optimization. J. Mach. Learn. Res. 18: 119:1-119:59 (2017) - [i3]Maren Mahsereci, Lukas Balles, Christoph Lassner, Philipp Hennig:
Early Stopping without a Validation Set. CoRR abs/1703.09580 (2017) - [i2]Maren Mahsereci, Philipp Hennig:
Probabilistic Line Searches for Stochastic Optimization. CoRR abs/1703.10034 (2017) - 2015
- [c1]Maren Mahsereci, Philipp Hennig:
Probabilistic Line Searches for Stochastic Optimization. NIPS 2015: 181-189 - [i1]Maren Mahsereci, Philipp Hennig:
Probabilistic Line Searches for Stochastic Optimization. CoRR abs/1502.02846 (2015)
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