Botond Szabó - RankMe

17 papers A* 4Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	View selection in multi-view stacking: choosing the meta-learner. Adv. Data Anal. Classif. Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij
2024	J	`jnl`	Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression. CoRR Bernhard Stankewitz, Botond Szabó
2023	A*	`conf`	Optimal testing using combined test statistics across independent studies. NeurIPS Lasse Vuursteen, Botond Szabó, Aad van der Vaart, Harry van Zanten
2023	A*	`conf`	Variational Gaussian processes for linear inverse problems. NeurIPS Thibault Randrianarisoa, Botond Szabó
2022	J	`jnl`	Contraction rates for sparse variational approximations in Gaussian process regression. J. Mach. Learn. Res. Dennis Nieman, Botond Szabó, Harry van Zanten
2022	J	`jnl`	Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit Communication. IEEE Trans. Inf. Theory Botond Szabó, Lasse Vuursteen, Harry van Zanten
2021	J	`jnl`	Analyzing hierarchical multi-view MRI data with StaPLR: An application to Alzheimer's disease classification. CoRR Wouter van Loon, Frank de Vos, Marjolein Fokkema, Botond Szabó, Marisa Koini, Reinhold Schmidt, Mark de Rooij
2021	J	`jnl`	Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel? SIAM/ASA J. Uncertain. Quantification Amine Hadji, Botond Szabó
2020	J	`jnl`	Optimal distributed testing in high-dimensional Gaussian models. CoRR Botond Szabó, Lasse Vuursteen, Harry van Zanten
2020	A*	`conf`	Spike and slab variational Bayes for high dimensional logistic regression. NeurIPS Kolyan Ray, Botond Szabó, Gabriel Clara
2020	J	`jnl`	Spike and slab variational Bayes for high dimensional logistic regression. CoRR Kolyan Ray, Botond Szabó, Gabriel Clara
2020	J	`jnl`	Stacked penalized logistic regression for selecting views in multi-view learning. Inf. Fusion Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij
2020	J	`jnl`	View selection in multi-view stacking: Choosing the meta-learner. CoRR Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij
2019	J	`jnl`	An asymptotic analysis of distributed nonparametric methods. J. Mach. Learn. Res. Botond Szabó, Harry van Zanten
2019	A*	`conf`	Debiased Bayesian inference for average treatment effects. NeurIPS Kolyan Ray, Botond Szabó
2019	J	`jnl`	Debiased Bayesian inference for average treatment effects. CoRR Kolyan Ray, Botond Szabó
2018	J	`jnl`	Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning. CoRR Wouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij