Samuel Müller

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All published works

Action	Title	Year	Authors
+ PDF Chat	The Tabular Foundation Model TabPFN Outperforms Specialized Time Series Forecasting Models Based on Simple Features	2025	Shi Bin Hoo Samuel Müller David Salinas Frank Hutter
+ PDF Chat	High-dimensional sliced inverse regression with endogeneity	2024	Linh Nghiem Francis K. C. Hui Samuel Müller A. H. Welsh
+	Best Subset Solution Path for Linear Dimension Reduction Models Using Continuous Optimization	2024	Benoît Liquet Sarat Moka Samuel Müller
+ PDF Chat	Random Effects Misspecification and its Consequences for Prediction in Generalized Linear Mixed Models	2024	Quan Vu Francis K. C. Hui Samuel Müller A. H. Welsh
+ PDF Chat	On the Selection Stability of Stability Selection and Its Applications	2024	Mahdi Nouraie Samuel Müller
+ PDF Chat	Bayesian Stability Selection and Inference on Inclusion Probabilities	2024	Mahdi Nouraie Connor Smith Samuel Müller
+	Robust variable selection methods with Cox model—a selective practical benchmark study	2024	Yunwei Zhang Samuel Müller
+ PDF Chat	Air-HOLP: Adaptive Regularized Feature Screening for High Dimensional Data	2024	Ibrahim Joudah Samuel Müller Houying Zhu
+	CR-Lasso: Robust cellwise regularized sparse regression	2024	Peng Su Garth Tarr Samuel Müller Suojin Wang
+ PDF Chat	Best Subset Solution Path for Linear Dimension Reduction Models using Continuous Optimization	2024	Benoît Liquet Sarat Moka Samuel Müller
+ PDF Chat	COMBSS: best subset selection via continuous optimization	2024	Sarat Moka Benoît Liquet Houying Zhu Samuel Müller
+	The effect of the working correlation on fitting models to longitudinal data	2024	Samuel Müller Suojin Wang A. H. Welsh
+ PDF Chat	Likelihood-based surrogate dimension reduction	2023	Linh Nghiem Francis K. C. Hui Samuel Müller A. H. Welsh
+	Robust variable selection under cellwise contamination	2023	Peng Su Garth Tarr Samuel Müller
+ PDF Chat	COMBSS: Best Subset Selection via Continuous Optimization	2023	Sarat Moka Benoît Liquet Houying Zhu Samuel Müller
+	PFNs4BO: In-Context Learning for Bayesian Optimization	2023	Samuel Müller Matthias Feurer Noah Hollmann Frank Hutter
+	CR-Lasso: Robust cellwise regularized sparse regression	2023	Peng Su Garth Tarr Samuel Müller Suojin Wang
+	Efficient Bayesian Learning Curve Extrapolation using Prior-Data Fitted Networks	2023	Steven Adriænsen Herilalaina Rakotoarison Samuel Müller Frank Hutter
+	Robust subtractive stability measures for fast and exhaustive feature importance ranking and selection in generalised linear models	2022	Connor Smith Boris Guennewig Samuel Müller
+ PDF Chat	Screening Methods for Linear Errors-in-Variables Models in High Dimensions	2022	Linh Nghiem Francis K. C. Hui Samuel Müller A. H. Welsh
+	Estimation of graphical models for skew continuous data	2022	Linh Nghiem Francis K. C. Hui Samuel Müller A. H. Welsh
+	COMBSS: Best Subset Selection via Continuous Optimization	2022	Sarat Moka Benoît Liquet Houying Zhu Samuel Müller
+	On the Importance of Hyperparameters and Data Augmentation for Self-Supervised Learning	2022	Diane R. Wagner Fábio Furlan Ferreira Danny Stoll Robin Tibor Schirrmeister Samuel Müller Frank Hutter
+	TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second	2022	Noah Hollmann Samuel Müller Katharina Eggensperger Frank Hutter
+	Semiparametric Regression Using Variational Approximations	2022	Francis K. C. Hui Chenglong You Han Lin Shang Samuel Müller
+	GEE-Assisted Variable Selection for Latent Variable Models with Multivariate Binary Data	2021	Francis K. C. Hui Samuel Müller A. H. Welsh
+ PDF Chat	Sparse Sliced Inverse Regression via Cholesky Matrix Penalization	2021	Linh Nghiem Francis K. C. Hui Samuel Müller A. H. Welsh
+	svReg: Structural varying‐coefficient regression to differentiate how regional brain atrophy affects motor impairment for Huntington disease severity groups	2021	Rakheon Kim Samuel Müller Tanya P. Garcia
+	Robust Variable Selection under Cellwise Contamination	2021	Peng Su Garth Tarr Samuel Müller
+	Transformers Can Do Bayesian Inference	2021	Samuel Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter
+	In-Loop Meta-Learning with Gradient-Alignment Reward	2021	Samuel Müller André Biedenkapp Frank Hutter
+	Semiparametric Regression Using Variational Approximations	2021	Francis K. C. Hui Chenglong You Han Lin Shang Samuel Müller
+	Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models	2020	Francis K. C. Hui Samuel Müller A. H. Welsh
+ PDF Chat	The LASSO on latent indices for regression modeling with ordinal categorical predictors	2020	Francis K. C. Hui Samuel Müller A. H. Welsh
+	Semiparametric Regression Using Variational Approximations	2020	Francis K. C. Hui Chenglong You Han Lin Shang Samuel Müller
+	Testing random effects in linear mixed models: another look at the F‐test (with discussion)	2019	Francis K. C. Hui Samuel Müller A. H. Welsh
+	Semiparametric Regression Using Variational Approximations	2019	Francis K. C. Hui Chenglong You Han Lin Shang Samuel Müller
+ PDF Chat	Semiparametric Regression Using Variational Approximations	2018	Francis K. C. Hui Chenglong You Han Lin Shang Samuel Müller
+ PDF Chat	<b>mplot</b>: An <i>R</i> Package for Graphical Model Stability and Variable Selection Procedures	2018	Garth Tarr Samuel Müller A. H. Welsh
+	Bootstrapping F test for testing Random Effects in Linear Mixed Models	2018	Pauline O’Shaughnessy Francis K. C. Hui Samuel Müller A. H. Welsh
+	Semiparametric Regression using Variational Approximations	2018	Francis K. C. Hui Chenglong You Han Lin Shang Samuel Müller
+ PDF Chat	Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models	2017	Francis K. C. Hui Samuel Müller A. H. Welsh
+ PDF Chat	Hierarchical Selection of Fixed and Random Effects in Generalized Linear Mixed Models	2017	Francis K. C. Hui Samuel Müller A. H. Welsh
+	A variational Bayes approach to variable selection	2017	John T. Ormerod Chong You Samuel Müller
+	Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models	2017	Francis K. C. Hui Samuel Müller A. H. Welsh
+ PDF Chat	Joint Selection in Mixed Models using Regularized PQL	2016	Francis K. C. Hui Samuel Müller A. H. Welsh
+	Fast and flexible methods for monotone polynomial fitting	2016	Kevin Murray Samuel Müller Berwin A. Turlach
+	Much more than U-statistics: a symposium to celebrate Neville C. Weber	2015	Garth Tarr Samuel Müller
+ PDF Chat	Robust estimation of precision matrices under cellwise contamination	2015	Garth Tarr Samuel Müller N. C. Weber
+	The difference of symmetric quantiles under long range dependence	2015	Garth Tarr N. C. Weber Samuel Müller
+	On generalized degrees of freedom with application in linear mixed models selection	2014	Chong You Samuel Müller John T. Ormerod
+	On Variational Bayes Estimation and Variational Information Criteria for Linear Regression Models	2014	Chong You John T. Ormerod Samuel Müller
+	Influence of measures of significance based weights in the weighted Lasso	2014	Tanya P. Garcia Samuel Müller
+ PDF Chat	Identification of important regressor groups, subgroups and individuals via regularization methods: application to gut microbiome data	2013	Tanya P. Garcia Samuel Müller Raymond J. Carroll Rosemary L. Walzem
+	Graphical tools for model selection in generalized linear models	2013	Kevin Murray Stéphane Héritier Samuel Müller
+	Model Selection in Linear Mixed Models	2013	Samuel Müller Janice L. Scealy A. H. Welsh
+ PDF Chat	Structured variable selection with q-values	2013	Thayná Pereira Garcia Samuel Müller Raymond J. Carroll Tamara N. Dunn Abraham Thomas Sean H. Adams Suresh D. Pillai Rosemary L. Walzem
+ PDF Chat	Controlling the local false discovery rate in the adaptive Lasso	2013	Joshua N. Sampson Nilanjan Chatterjee Raymond J. Carroll Samuel Müller
+	Informative measures of significance for constructing intelligent feature weights	2013	Samuel Müller Tanya P. Garcia Raymond J. Carroll
+	Revisiting fitting monotone polynomials to data	2012	Kevin Murray Samuel Müller Berwin A. Turlach
+ PDF Chat	Empirical Performance of Cross-Validation With Oracle Methods in a Genomics Context	2011	Josue G. Martinez Raymond J. Carroll Samuel Müller Joshua N. Sampson Nilanjan Chatterjee
+	A robust scale estimator based on pairwise means	2011	Garth Tarr Samuel Müller N. C. Weber
+	Partially smooth tail-index estimation for small samples	2010	Samuel Müller Houng Chhay
+	On Model Selection Curves	2010	Samuel Müller A. H. Welsh
+ PDF Chat	A Note on the Effect on Power of Score Tests via Dimension Reduction by Penalized Regression under the Null	2010	Josue G. Martinez Raymond J. Carroll Samuel Müller Joshua N. Sampson Nilanjan Chatterjee
+ PDF Chat	PARTIALLY LINEAR MODEL SELECTION BY THE BOOTSTRAP	2009	Samuel Müller Céline Vial
+ PDF Chat	Smooth tail-index estimation	2008	Samuel Müller Kaspar Rufibach
+	Robust model selection in generalized linear models	2007	Samuel Müller A. H. Welsh
+	Estimating the number of motor units using random sums with independently thinned terms	2006	Samuel Müller Adriana Bastos Conforto Werner J. Z’Graggen Alain Kaelin‐Lang
+	TWO‐STAGE SUPPORT ESTIMATION	2005	Samuel Müller
+	Outlier Robust Model Selection in Linear Regression	2005	Samuel Müller A. H. Welsh
+ PDF Chat	Iterative Estimation of the Extreme Value Index	2005	Samuel Müller Jürg Hüsler
+	A Comparison of human and pseudo-uniform random numbers	2005	Samuel Müller Kaspar Rufibach
+	None	2003	Samuel Müller

Common Coauthors

Coauthor	Papers Together
Francis K. C. Hui	21
A. H. Welsh	19
Garth Tarr	9
Frank Hutter	7
Raymond J. Carroll	6
Han Lin Shang	6
Chenglong You	6
Benoît Liquet	5
Sarat Moka	5
Linh Nghiem	5
Houying Zhu	4
Tanya P. Garcia	4
Peng Su	4
N. C. Weber	3
Suojin Wang	3
Chong You	3
Noah Hollmann	3
Nilanjan Chatterjee	3
Kevin Murray	3
Joshua N. Sampson	3
John T. Ormerod	3
Mahdi Nouraie	2
Berwin A. Turlach	2
Kaspar Rufibach	2
Josue G. Martinez	2
Rosemary L. Walzem	2
A. H. Welsh	2
Connor Smith	2
Abraham Thomas	1
Jürg Hüsler	1
Pauline O’Shaughnessy	1
Céline Vial	1
Shi Bin Hoo	1
Fábio Furlan Ferreira	1
Quan Vu	1
Adriana Bastos Conforto	1
Boris Guennewig	1
Robin Tibor Schirrmeister	1
Sebastian Pineda Arango	1
Alain Kaelin‐Lang	1
Thayná Pereira Garcia	1
Houng Chhay	1
Ibrahim Joudah	1
Rakheon Kim	1
Janice L. Scealy	1
Danny Stoll	1
Stéphane Heritier	1
Tamara N. Dunn	1
Josif Grabocka	1
Matthias Feurer	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	19
+ PDF Chat	The Adaptive Lasso and Its Oracle Properties	2006	Hui Zou	14
+ PDF Chat	Estimating the Dimension of a Model	1978	Gideon Schwarz	12
+	On Model Selection Curves	2010	Samuel Müller A. H. Welsh	11
+	Outlier Robust Model Selection in Linear Regression	2005	Samuel Müller A. H. Welsh	9
+	Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties	2001	Jianqing Fan Runze Li	8
+	Model Selection in Linear Mixed Models	2013	Samuel Müller Janice L. Scealy A. H. Welsh	7
+ PDF Chat	Model Selection and Estimation in Regression with Grouped Variables	2005	Ming Yuan Yi Lin	7
+	Robust model selection in generalized linear models	2007	Samuel Müller A. H. Welsh	7
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike	6
+	Regularization Paths for Generalized Linear Models via Coordinate Descent	2010	Jerome H. Friedman Trevor Hastie Robert Tibshirani	6
+	Tuning Parameter Selection for the Adaptive Lasso Using ERIC	2014	Francis K. C. Hui David I. Warton Scott D. Foster	5
+	Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing	1995	Yoav Benjamini Yosef Hochberg	5
+	A Selective Overview of Variable Selection in High Dimensional Feature Space.	2010	Jianqing Fan Jinchi Lv	5
+ PDF Chat	The composite absolute penalties family for grouped and hierarchical variable selection	2009	Peng Zhao Guilherme V. Rocha Bin Yu	5
+	Regularization Paths for Generalized Linear Models via Coordinate Descent.	2010	Jerome H. Friedman Trevor Hastie Rob Tibshirani	5
+ PDF Chat	Least angle regression	2004	Bradley Efron Trevor Hastie Iain M. Johnstone Robert Tibshirani	5
+ PDF Chat	Joint Selection in Mixed Models using Regularized PQL	2016	Francis K. C. Hui Samuel Müller A. H. Welsh	5
+	A robust scale estimator based on pairwise means	2011	Garth Tarr Samuel Müller N. C. Weber	5
+ PDF Chat	Joint Variable Selection for Fixed and Random Effects in Linear Mixed‐Effects Models	2010	Howard D. Bondell Arun Krishna Sujit K. Ghosh	5
+	AN ASYMPTOTIC THEORY FOR LINEAR MODEL SELECTION	1997	Jun Shao	5
+ PDF Chat	Fixed and Random Effects Selection by REML and Pathwise Coordinate Optimization	2013	Bingqing Lin Zhen Pang Jiming Jiang	4
+	Regression Shrinkage and Selection via The Lasso: A Retrospective	2011	Robert Tibshirani	4
+ PDF Chat	Propagation of outliers in multivariate data	2009	Fatemah Alqallaf Stefan Van Aelst Vı́ctor J. Yohai Ruben H. Zamar	4
+ PDF Chat	Fixed and Random Effects Selection in Mixed Effects Models	2010	Joseph G. Ibrahim Hongtu Zhu Ramon I. Garcia Ruixin Guo	4
+	Variable selection in linear mixed effects models	2012	Yingying Fan Runze Li	4
+	Fence methods for mixed model selection	2008	Jiming Jiang J. Sunil Rao Zhonghua Gu Thuan Nguyen	4
+ PDF Chat	Hierarchical Selection of Fixed and Random Effects in Generalized Linear Mixed Models	2017	Francis K. C. Hui Samuel Müller A. H. Welsh	4
+	Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire	1943	B Gnedenko	4
+	Linear Model Selection by Cross-validation	1993	Jun Shao	4
+	Maximum likelihood estimation in a class of nonregular cases	1985	Richard L. Smith	4
+ PDF Chat	Nonconcave penalized likelihood with a diverging number of parameters	2004	Jianqing Fan Heng Peng	4
+ PDF Chat	Structured variable selection with q-values	2013	Thayná Pereira Garcia Samuel Müller Raymond J. Carroll Tamara N. Dunn Abraham Thomas Sean H. Adams Suresh D. Pillai Rosemary L. Walzem	4
+ PDF Chat	Stability Selection	2010	Nicolai Meinshausen Peter Bühlmann	4
+ PDF Chat	High Breakdown-Point and High Efficiency Robust Estimates for Regression	1987	Vı́ctor J. Yohai	3
+ PDF Chat	Estimating Tails of Probability Distributions	1987	Richard L. Smith	3
+	Longitudinal data analysis using generalized linear models	1986	Kung‐Yee Liang Scott L. Zeger	3
+ PDF Chat	On Estimating the Endpoint of a Distribution	1982	Peter A. Hall	3
+ PDF Chat	Variable selection for generalized linear mixed models by L 1-penalized estimation	2012	Andreas Groll Gerhard Tutz	3
+ PDF Chat	The shooting S-estimator for robust regression	2015	Viktoria Öllerer Andreas Alfons Christophe Croux	3
+	Robust Statistics: The Approach Based on Influence Functions	1987	David Ruppert Frank R. Hampel Elvezio Ronchetti Peter J. Rousseeuw Werner A. Stahel	3
+	Conditional Akaike information for mixed-effects models	2005	Florin Vaida Suzette Blanchard	3
+	Bootstrap variants of the Akaike information criterion for mixed model selection	2007	Junfeng Shang Joseph E. Cavanaugh	3
+	A Sparse-Group Lasso	2012	Noah Simon Jerome H. Friedman Trevor Hastie Robert Tibshirani	3
+	Model selection in linear mixed effect models	2012	Heng Peng Ying Lü	3
+	Efficient algorithm to select tuning parameters in sparse regression modeling with regularization	2011	Kei Hirose Shohei Tateishi Sadanori Konishi	3
+ PDF Chat	Asymptotic normality and valid inference for Gaussian variational approximation	2011	Peter Hall Tung Pham M. P. Wand Shen S. J. Wang	3
+ PDF Chat	A simple nonparametric estimator of a strictly monotone regression function	2006	Holger Dette Natalie Neumeyer Kay F. Pilz	3
+ PDF Chat	Explaining Variational Approximations	2010	John T. Ormerod M. P. Wand	3
+	A Robust Version of Mallows's <i>C</i> <sub>P</sub>	1994	Elvezio Ronchetti Robert G. Staudte	3