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Botond Szabó
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2020 – today
- 2024
- [i7]Bernhard Stankewitz, Botond Szabó:
Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression. CoRR abs/2406.12678 (2024) - 2023
- [c4]Thibault Randrianarisoa, Botond Szabó:
Variational Gaussian processes for linear inverse problems. NeurIPS 2023 - [c3]Lasse Vuursteen, Botond Szabó, Aad van der Vaart, Harry van Zanten:
Optimal testing using combined test statistics across independent studies. NeurIPS 2023 - 2022
- [j5]Dennis Nieman, Botond Szabó, Harry van Zanten:
Contraction rates for sparse variational approximations in Gaussian process regression. J. Mach. Learn. Res. 23: 205:1-205:26 (2022) - [j4]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): 4070-4084 (2022) - 2021
- [j3]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): 185-230 (2021) - [i6]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 abs/2108.05761 (2021) - 2020
- [j2]Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij:
Stacked penalized logistic regression for selecting views in multi-view learning. Inf. Fusion 61: 113-123 (2020) - [c2]Kolyan Ray, Botond Szabó, Gabriel Clara:
Spike and slab variational Bayes for high dimensional logistic regression. NeurIPS 2020 - [i5]Kolyan Ray, Botond Szabó, Gabriel Clara:
Spike and slab variational Bayes for high dimensional logistic regression. CoRR abs/2010.11665 (2020) - [i4]Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij:
View selection in multi-view stacking: Choosing the meta-learner. CoRR abs/2010.16271 (2020) - [i3]Botond Szabó, Lasse Vuursteen, Harry van Zanten:
Optimal distributed testing in high-dimensional Gaussian models. CoRR abs/2012.04957 (2020)
2010 – 2019
- 2019
- [j1]Botond Szabó, Harry van Zanten:
An asymptotic analysis of distributed nonparametric methods. J. Mach. Learn. Res. 20: 87:1-87:30 (2019) - [c1]Kolyan Ray, Botond Szabó:
Debiased Bayesian inference for average treatment effects. NeurIPS 2019: 11929-11939 - [i2]Kolyan Ray, Botond Szabó:
Debiased Bayesian inference for average treatment effects. CoRR abs/1909.12078 (2019) - 2018
- [i1]Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij:
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning. CoRR abs/1811.02316 (2018)
Coauthor Index
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