Botond Szabó

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Gaussian Process

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Inf. Theory

Publications

Bernhard Stankewitz, Botond Szabó
Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression. CoRR (2024)
Lasse Vuursteen, Botond Szabó, Aad van der Vaart, Harry van Zanten
Optimal testing using combined test statistics across independent studies. NeurIPS (2023)
Thibault Randrianarisoa, Botond Szabó
Variational Gaussian processes for linear inverse problems. NeurIPS (2023)
Botond Szabó, Lasse Vuursteen, Harry van Zanten
Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit Communication. IEEE Trans. Inf. Theory 68 (6) (2022)
Dennis Nieman, Botond Szabó, Harry van Zanten
Contraction rates for sparse variational approximations in Gaussian process regression. J. Mach. Learn. Res. 23 (2022)
Amine Hadji, Botond Szabó
Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel? SIAM/ASA J. Uncertain. Quantification 9 (1) (2021)
Wouter van Loon, Frank de Vos, Marjolein Fokkema, Botond Szabó, Marisa Koini, Reinhold Schmidt, Mark de Rooij
Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification. CoRR (2021)
Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij
Stacked penalized logistic regression for selecting views in multi-view learning. Inf. Fusion 61 (2020)
Kolyan Ray, Botond Szabó, Gabriel Clara
Spike and slab variational Bayes for high dimensional logistic regression. NeurIPS (2020)
Kolyan Ray, Botond Szabó, Gabriel Clara
Spike and slab variational Bayes for high dimensional logistic regression. CoRR (2020)
Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij
View selection in multi-view stacking: Choosing the meta-learner. CoRR (2020)
Botond Szabó, Lasse Vuursteen, Harry van Zanten
Optimal distributed testing in high-dimensional Gaussian models. CoRR (2020)
Kolyan Ray, Botond Szabó
Debiased Bayesian inference for average treatment effects. NeurIPS (2019)
Botond Szabó, Harry van Zanten
An asymptotic analysis of distributed nonparametric methods. J. Mach. Learn. Res. 20 (2019)
Kolyan Ray, Botond Szabó
Debiased Bayesian inference for average treatment effects. CoRR (2019)
Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning. CoRR (2018)