Botond Szabó - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 9 from 9

2023

Variational Gaussian processes for linear inverse problemsThibault Randrianarisoa, Botond Szabó. nips 2023: [doi]

Optimal testing using combined test statistics across independent studiesLasse Vuursteen, Botond Szabó, Aad van der Vaart, Harry van Zanten. nips 2023: [doi]

2022

Contraction rates for sparse variational approximations in Gaussian process regressionDennis Nieman, Botond Szabó, Harry van Zanten. jmlr, 23, 2022. [doi]

Optimal Distributed Composite Testing in High-Dimensional Gaussian Models With 1-Bit CommunicationBotond Szabó, Lasse Vuursteen, Harry van Zanten. TIT, 68(6):4070-4084, 2022. [doi]

2021

Can We Trust Bayesian Uncertainty Quantification from Gaussian Process Priors with Squared Exponential Covariance Kernel?Amine Hadji, Botond Szabó. juq, 9(1):185-230, 2021. [doi]

2020

Spike and slab variational Bayes for high dimensional logistic regressionKolyan Ray, Botond Szabó, Gabriel Clara. nips 2020: [doi]

Stacked penalized logistic regression for selecting views in multi-view learningWouter van Loon, Marjolein Fokkema, Botond Szabó, Mark de Rooij. inffus, 61:113-123, 2020. [doi]

2019

Debiased Bayesian inference for average treatment effectsKolyan Ray, Botond Szabó. nips 2019: 11929-11939 [doi]

An asymptotic analysis of distributed nonparametric methodsBotond Szabó, Harry van Zanten. jmlr, 20, 2019. [doi]

Sign in or sign up to see more results.

runs on WebDSL