Szabo, Botond
- Debiased Bayesian inference for average treatment effects
2019/09/26 by Ray, Kolyan, Szabo, Botond · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Spike and slab variational Bayes for high dimensional logistic regression
2020/10/22 by Botond Szabó, Ray, Kolyan, Gabriel Clara +2 · 3 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Gaussian Processes and Bayesian Inference
- Adaptive distributed methods under communication constraints
2018/04/03 by Szabo, Botond, van Zanten, Harry · 2 citations
#62G05 #62G20 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Skewed Bernstein-von Mises theorem and skew-modal approximations
2023/01/08 by Daniele Durante, Durante, Daniele, Francesco Pozza +3 · 3 citations
Mathematics · #Advanced Statistical Methods and Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- Distributed function estimation: adaptation using minimal communication
2020/03/28 by Szabo, Botond, van Zanten, Harry · 2 citations
#62G05 #62G10 #62G20 #94A15 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors
2016/09/16 by Rousseau, Judith, Szabo, Botond · 2 citations
#62G05 (primary) 62G08 #62G07 (secondary) #62G20 #FOS: Mathematics #Statistics Theory (math.ST)
- Contraction rates for sparse variational approximations in Gaussian\n process regression
2021/09/22 by Dennis Nieman, Botond Szabó, Nieman, Dennis +3 · 2 citations
Computer Science · Engineering · Mathematics · #Advanced Multi-Objective Optimization Algorithms #Control Systems and Identification #Domain Adaptation and Few-Shot Learning #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference #Statistics Theory (math.ST)
- An asymptotic analysis of distributed nonparametric methods
2017/11/08 by Szabo, Botond, van Zanten, Harry · 1 citation
#62G05 #62G15 #62G20 #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- Linear methods for non-linear inverse problems
2024/11/29 by Geerten Koers, Botond Szabó, Koers, Geerten +3 · 3 citations
Computer Science · Mathematics · #62G15 #FOS: Mathematics #Matrix Theory and Algorithms #Numerical methods in inverse problems #Statistics Theory (math.ST) #primary: 62G05 #secondary: 62G20
- Skew-symmetric approximations of posterior distributions
2024/09/21 by Francesco Pozza, Daniele Durante, Pozza, Francesco +3 · 2 citations
Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistical Mechanics and Entropy #Statistics Theory (math.ST)
- Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression
2022/12/21 by Nieman, Dennis, Szabo, Botond, van Zanten, Harry · 1 citation
#FOS: Mathematics #Statistics Theory (math.ST)
- Adaptation using spatially distributed Gaussian Processes
2023/12/21 by Szabo, Botond, Hadji, Amine, van der Vaart, Aad · 1 citation
#62G08 #62G20 #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Vecchia Gaussian Processes: Probabilistic Properties, Minimax Rates and Methodological Developments
2024/10/14 by Szabo, Botond, Zhu, Yichen · 1 citation
#60G15 #62G08 #62H11 #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)