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Botond Szabó · SciRah

Researcher profile · Semantic Scholar

Botond Szabó

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Botond Szabó — researcher profile on SciRah

h-index: 16
Works: 38
Citations: 909

Most-cited papers

Determination of rate parameters based on both direct and indirect measurements
T. Turányi, T. Nagy, I. Zsély, M. Cserháti +6 more
2012176 citations Open access
Semantic Scholar
Variational Bayes for High-Dimensional Linear Regression With Sparse Priors
Kolyan Ray, Botond Szabó
2019Journal of the American Statistical Association129 citations Open access
Semantic Scholar
Bayes procedures for adaptive inference in inverse problems for the white noise model
B. Knapik, Botond Szabó, A. W. van der Vaart, J. H. van Zanten
2012Probability theory and related fields89 citations Open access
Semantic Scholar
Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator
J. Rousseau, Botond Szabó
201561 citations Open access
Semantic Scholar
An asymptotic analysis of distributed nonparametric methods
Botond Szabó, H. van Zanten
2017Journal of machine learning research51 citations
Semantic Scholar
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray, Botond Szabó, Gabriel Clara
2020Neural Information Processing Systems35 citations
Semantic Scholar
Adaptive distributed methods under communication constraints
Botond Szabó, H. van Zanten
2018Annals of Statistics32 citations Open access
Semantic Scholar
Honest Bayesian confidence sets for the L2-norm
Botond Szabó, A. W. van der Vaart, H. van Zanten
201330 citations Open access
Semantic Scholar
Contraction rates for sparse variational approximations in Gaussian process regression
D. Nieman, Botond Szabó, H. van Zanten
2021Journal of machine learning research26 citations
Semantic Scholar
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning
Wouter van Loon, Marjolein Fokkema, Botond Szabó, M. de Rooij
2018Information Fusion26 citations Open access
Semantic Scholar
Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
J. Rousseau, Botond Szabó
2016Annals of Statistics25 citations Open access
Semantic Scholar
Debiased Bayesian inference for average treatment effects
Kolyan Ray, Botond Szabó
2019Neural Information Processing Systems24 citations
Semantic Scholar
Spike and slab empirical Bayes sparse credible sets
I. Castillo, Botond Szabó
2018Bernoulli21 citations Open access
Semantic Scholar
Numerical investigation of the uncertainty of Arrhenius parameters
L. Varga, Botond Szabó, I. Zsély, A. Zempléni +1 more
201121 citations
Semantic Scholar
Skewed Bernstein–von Mises theorem and skew-modal approximations
Daniele Durante, Francesco Pozza, Botond Szabó
2023Annals of Statistics18 citations Open access
Semantic Scholar
Uncertainty quantification for the horseshoe
S. L. van der Pas, Botond Szabó, A. W. van der Vaart
201617 citations
Semantic Scholar
Distributed function estimation: Adaptation using minimal communication
Botond Szabó, H. van Zanten
2020Mathematical Statistics and Learning16 citations Open access
Semantic Scholar
Bayes procedures for adaptive inference in nonparametric inverse problems
B. Knapik, Botond Szabó, van der Aw Aad Vaart, Van Zanten
201214 citations
Semantic Scholar
View selection in multi-view stacking: choosing the meta-learner
Wouter van Loon, Marjolein Fokkema, Botond Szabó, M. de Rooij
2020Advances in Data Analysis and Classification13 citations Open access
Semantic Scholar
A Bayesian nonparametric approach to log-concave density estimation
Ester Mariucci, Kolyan Ray, Botond Szabó
2017Bernoulli11 citations Open access
Semantic Scholar
How many needles in the haystack? Adaptive inference and uncertainty quantification for the horseshoe
S. L. van der Pas, Botond Szabó, A. W. van der Vaart
201610 citations
Semantic Scholar
Fast Exact Bayesian Inference for Sparse Signals in the Normal Sequence Model.
Tim van Erven, Botond Szabó
20189 citations Open access
Semantic Scholar
Linear methods for non-linear inverse problems
Geerten Koers, Botond Szabó, A. W. van der Vaart
20248 citations
Semantic Scholar
Variational Gaussian processes for linear inverse problems
Thibault Randrianarisoa, Botond Szabó
2023Neural Information Processing Systems8 citations Open access
Semantic Scholar
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression
D. Nieman, Botond Szabó, H. van Zanten
2022Electronic Journal of Statistics8 citations Open access
Semantic Scholar
Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit Communication
Botond Szabó, Lasse Vuursteen, H. van Zanten
2020IEEE Transactions on Information Theory8 citations Open access
Semantic Scholar
Adaptation Using Spatially Distributed Gaussian Processes
Botond Szabó, Amine Hadji, A. W. van der Vaart
2023Journal of the American Statistical Association6 citations Open access
Semantic Scholar
Optimal distributed testing in high-dimensional Gaussian models
Botond Szabó, Lasse Vuursteen, H. van Zanten
2020arXiv.org6 citations
Semantic Scholar
Antiandrogenic effect of isotretinoin: is the retina involved in mechanism of action?
Botond Szabó
2007Medical Hypotheses5 citations
Semantic Scholar
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 +3 more
2021Frontiers in Neuroscience4 citations Open access
Semantic Scholar
New Bryozoa from the Sarmatian (Middle Miocene) deposits of the Cerna-Strei Depression, Romania
Lóránd Silye, Botond Szabó
20084 citations Open access
Semantic Scholar
Non-imaging optics for LED-lighting
J. V. D. Berg, Rui M. Castro, J. Draisma, Jhm Joep Evers +6 more
20132 citations
Semantic Scholar
Discussion: " Coverage of Bayesian Credible Sets "
S. Ghosal, Botond Szabó, A. W. van der Vaart, H. van Zanten +1 more
20141 citations
Semantic Scholar
Kolyan Ray and Botond Szabo’s contribution to the Discussion of “Martingale Posterior Distributions” by Fong, Holmes and Walke
Kolyan Ray, Botond Szabó
2023Journal of The Royal Statistical Society Series B-statistical Methodology0 citations Open access
Semantic Scholar
The missing mathematical story of Bayesian uncertainty quantification for big data
Botond Szabó
2023The Project Repository Journal0 citations Open access
Semantic Scholar
Correction
Botond Szabó
2021Journal of the American Statistical Association0 citations Open access
Semantic Scholar
Exact Bayesian Model Selection Methods for the Sparse Normal Sequence Model [R package SequenceSpikeSlab version 0.1.1]
S. de Rooij, Tim van Erven, Botond Szabó
20200 citations
Semantic Scholar
Confidence in Bayesian Uncertainty Quantification?
Botond Szabó
20160 citations
Semantic Scholar

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