| Frequentist coverage of adaptive nonparametric Bayesian credible sets B Szabó, AW van der Vaart, JH van Zanten Annals of Statistics 43 (4), 1391-1428, 2015 | 190 | 2015 |
| Determination of rate parameters based on both direct and indirect measurements T Turányi, T Nagy, IG Zsély, M Cserháti, T Varga, BT Szabó, I Sedyo, ... International Journal of Chemical Kinetics 44 (5), 284-302, 2012 | 183 | 2012 |
| Uncertainty quantification for the horseshoe (with discussion) S Pas, B Szabo, A Vaart Bayesian Analysis 12 (4), 1221-1249, 2017 | 132* | 2017 |
| Variational Bayes for high-dimensional linear regression with sparse priors K Ray, B Szabó Journal of the American Statistical Association 117 (539), 1270-1281, 2022 | 123 | 2022 |
| Bayes procedures for adaptive inference in inverse problems for the white noise model BT Knapik, BT Szabó, AW Van Der Vaart, JH van Zanten Probability Theory and Related Fields 164 (3), 771-813, 2016 | 88* | 2016 |
| Adaptive posterior contraction rates for the horseshoe S Van der Pas, B Szabó, A Van der Vaart Electronic Journal of Statistics 11 (2), 3196-3225, 2017 | 87 | 2017 |
| Empirical Bayes scaling of Gaussian priors in the white noise model BT Szabó, AW van der Vaart, JH van Zanten Electronic Journal of Statistics 7, 991-1018, 2013 | 78 | 2013 |
| Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator J Rousseau, B Szabo Annals of Statistics 45 (2), 833-865, 2017 | 64 | 2017 |
| An asymptotic analysis of distributed nonparametric methods B Szabó, H Van Zanten Journal of Machine Learning Research 20 (87), 1-30, 2019 | 46 | 2019 |
| Asymptotic frequentist coverage properties of bayesian credible sets for sieve priors J Rousseau, B Szabo Annals of Statistics 48 (4), 2155-2179, 2020 | 42 | 2020 |
| Spike and slab variational Bayes for high dimensional logistic regression K Ray, B Szabo, G Clara Advances in Neural Information Processing Systems 33, 2020 | 40 | 2020 |
| A sharp adaptive confidence ball for self-similar functions R Nickl, B Szabó Stochastic Processes and their Applications 126 (12), 3913-3934, 2016 | 36 | 2016 |
| Spike and slab empirical Bayes sparse credible sets I Castillo, B Szabó Bernoulli 26 (1), 127-158, 2020 | 29 | 2020 |
| Honest Bayesian confidence sets for the L2-norm B Szabo, A van der Vaart, H van Zanten Journal of Statistical Planning and Inference 166, 36-51, 2015 | 28 | 2015 |
| Adaptive distributed methods under communication constraints B Szabo, H van Zanten Annals of Statistics 48 (4), 2347-2380, 2020 | 27 | 2020 |
| Numerical investigation of the uncertainty of Arrhenius parameters L Varga, B Szabó, IG Zsély, A Zempléni, T Turányi Journal of mathematical chemistry 49, 1798-1809, 2011 | 24 | 2011 |
| Can we trust Bayesian uncertainty quantification from Gaussian process priors with squared exponential covariance kernel? A Hadji, B Szabo SIAM/ASA Journal on Uncertainty Quantification 9 (1), 185-230, 2021 | 20 | 2021 |
| Stacked penalized logistic regression for selecting views in multi-view learning W van Loon, M Fokkema, B Szabo, M de Rooij Information Fusion 61, 113-123, 2020 | 20 | 2020 |
| Contraction rates for sparse variational approximations in Gaussian process regression D Nieman, B Szabo, H van Zanten Journal of Machine Learning Research 23 (205), 1−26, 2022 | 16 | 2022 |
| Optimal distributed composite testing in high-dimensional Gaussian models with 1-bit communication B Szabó, L Vuursteen, H Van Zanten IEEE Transactions on Information Theory 68 (6), 4070-4084, 2022 | 15* | 2022 |
A.W. van der VaartTU DelftVerified email at tudelft.nl
