Comments on "PCA based Hurst exponent estimator for fBm signals under disturbances". - Harry van Zanten (IEEE Trans. Signal Process., 2010)

Information Rates of Nonparametric Gaussian Process Methods. - Aad van der Vaart; Harry van Zanten (J. Mach. Learn. Res., 2011)

Reversible jump MCMC for nonparametric drift estimation for diffusion processes. - Frank van der Meulen; Moritz Schauer; Harry van Zanten (Comput. Stat. Data Anal., 2014)

Optimality of Poisson processes intensity learning with Gaussian processes. - Alisa Kirichenko; Harry van Zanten (J. Mach. Learn. Res., 2015)

Nonparametric Bayesian label prediction on a graph. - Jarno Hartog; Harry van Zanten (Comput. Stat. Data Anal., 2018)

An asymptotic analysis of distributed nonparametric methods. - Botond Szabó; Harry van Zanten (J. Mach. Learn. Res., 2019)

Optimal distributed testing in high-dimensional Gaussian models. - Botond Szabó; Lasse Vuursteen; Harry van Zanten (CoRR, 2020)

Nonparametric Bayesian label prediction on a large graph using truncated Laplacian regularization. - Jarno Hartog; Harry van Zanten (Commun. Stat. Simul. Comput., 2021)

Transfer-Learning Across Datasets with Different Input Dimensions: An Algorithm and Analysis for the Linear Regression Case. - Luis Pedro Silvestrin; Harry van Zanten; Mark Hoogendoorn; Ger Koole (CoRR, 2022)

Contraction rates for sparse variational approximations in Gaussian process regression. - Dennis Nieman; Botond Szabó; Harry van Zanten (J. Mach. Learn. Res., 2022)

Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit Communication. - Botond Szabó; Lasse Vuursteen; Harry van Zanten (IEEE Trans. Inf. Theory, 2022)

Optimal testing using combined test statistics across independent studies. - Lasse Vuursteen; Botond Szabó; Aad van der Vaart; Harry van Zanten (NeurIPS, 2023)