Botond Szabó

According to our database, Botond Szabó authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression.

Bernhard Stankewitz, Botond Szabó

CoRR, 2024

2023

Optimal testing using combined test statistics across independent studies.

Lasse Vuursteen, Botond Szabó, Aad van der Vaart, Harry van Zanten

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variational Gaussian processes for linear inverse problems.

Thibault Randrianarisoa, Botond Szabó

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Contraction rates for sparse variational approximations in Gaussian process regression.

Dennis Nieman, Botond Szabó, Harry van Zanten

J. Mach. Learn. Res., 2022

2021

Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel?

Amine Hadji, Botond Szabó

SIAM/ASA J. Uncertain. Quantification, 2021

Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification.

Wouter van Loon, Frank de Vos, Marjolein Fokkema, Botond Szabó, Marisa Koini, Reinhold Schmidt, Mark de Rooij

CoRR, 2021

2020

Stacked penalized logistic regression for selecting views in multi-view learning.

Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij

Inf. Fusion, 2020

Optimal distributed testing in high-dimensional Gaussian models.

Botond Szabó, Lasse Vuursteen, Harry van Zanten

CoRR, 2020

View selection in multi-view stacking: Choosing the meta-learner.

Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij

CoRR, 2020

Spike and slab variational Bayes for high dimensional logistic regression.

Kolyan Ray, Botond Szabó, Gabriel Clara

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

An asymptotic analysis of distributed nonparametric methods.

Botond Szabó, Harry van Zanten

J. Mach. Learn. Res., 2019

Debiased Bayesian inference for average treatment effects.

Kolyan Ray, Botond Szabó

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019