Early Stopping without a Validation Set. - Maren Mahsereci; Lukas Balles; Christoph Lassner; Philipp Hennig (CoRR, 2017)

Probabilistic Line Searches for Stochastic Optimization. - Maren Mahsereci; Philipp Hennig (J. Mach. Learn. Res., 2017)

Active Multi-Information Source Bayesian Quadrature. - Alexandra Gessner; Javier Gonzalez; Maren Mahsereci (UAI, 2019)

A Fourier State Space Model for Bayesian ODE Filters. - Hans Kersting; Maren Mahsereci (CoRR, 2020)

Emulation of physical processes with Emukit. - Andrei Paleyes; Mark Pullin; Maren Mahsereci; Cliff McCollum; Neil D. Lawrence; Javier González 002 (CoRR, 2021)

Invariant Priors for Bayesian Quadrature. - Masha Naslidnyk; Javier Gonzalez; Maren Mahsereci (CoRR, 2021)

ProbNum: Probabilistic Numerics in Python. - Jonathan Wenger; Nicholas Krämer; Marvin Pförtner; Jonathan Schmidt 001; Nathanael Bosch; Nina Effenberger; Johannes Zenn; Alexandra Gessner; Toni Karvonen; François-Xavier Briol; Maren Mahsereci; Philipp Hennig (CoRR, 2021)

Probabilistic Numerical Methods - From Theory to Implementation (Dagstuhl Seminar 21432). - Philipp Hennig; Ilse C. F. Ipsen; Maren Mahsereci; Tim Sullivan 001 (Dagstuhl Reports, 2021)

Comparing Scale Parameter Estimators for Gaussian Process Interpolation with the Brownian Motion Prior: Leave-One-Out Cross Validation and Maximum Likelihood. - Masha Naslidnyk; Motonobu Kanagawa; Toni Karvonen; Maren Mahsereci (SIAM/ASA J. Uncertain. Quantification, 2025)

Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale using Sketched Methods. - Andres Fernandez; Frank Schneider 001; Maren Mahsereci; Philipp Hennig (Trans. Mach. Learn. Res., 2025)

A Dictionary of Closed-Form Kernel Mean Embeddings. - François-Xavier Briol; Alexandra Gessner; Toni Karvonen; Maren Mahsereci (CoRR, 2025)