← All authors Johannes Lederer Ruhr University Bochum (from arXiv:2006.12296, 2020) · ORCID · OpenAlex
31 papers in scope · 30 published · 2 on the econ.EM arXiv · 671 citations · h-index 10 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Alexandre Belloni Christian Hansen Susan Athey Guido W. Imbens Victor Chernozhukov Denis Chetverikov Vasilis Syrgkanis Whitney K. Newey Iván Fernández-Val Martin Spindler Stefan Wager Matias D. Cattaneo Kengo Kato Pedro H. C. Sant’Anna Max H. Farrell James M. Robins Achim Ahrens Kaspar Wüthrich Mark E. Schaffer Daniel Chen Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 31)
Discussion of Jessica Hullman, Ari Holtzman, and Andrew Gelman’s Article in Sankhya A: Artificial Intelligence and Aesthetic Judgment
published 2025 · Sankhya A
with Claudia Kirch
Simultaneous Estimation of Stable Parameters for Multiple Autoregressive Processes From Datasets of Nonuniform Sizes
published 2025 · Journal of Time Series Analysis
with Rainer von Sachs
VC‐PCR: A prediction method based on variable selection and clustering
published 2024 · Statistica Neerlandica · 1 citations · first circulated 2022
with Rebecca Marion, Bernadette Goevarts, Rainer von Sachs, Bernadette Govaerts
Layer sparsity in neural networks
published 2024 · Journal of Statistical Planning and Inference · 9 citations · first circulated 2020
with Mohamed Hebiri, Mahsa Taheri
Ayla Jungbluth and Johannes Lederer’s contribution to the Discussion of ‘the Discussion Meeting on Probabilistic and statistical aspects of machine learning’
published 2024 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Ayla Jungbluth
Mini-Workshop: Mathematical Foundations of Robust and Generalizable Learning
published 2023 · Oberwolfach Reports
with Po-Ling Loh, Yuting Wei, Fan Yang
Statistical guarantees for sparse deep learning
published 2023 · AStA Advances in Statistical Analysis · 5 citations · first circulated 2022
Targeted deep learning: Framework, methods, and applications
published 2023 · Stat · 1 citations · first circulated 2021
with Shih-Ting Huang
Balancing Statistical and Computational Precision: A General Theory and Applications to Sparse Regression
published 2022 · IEEE Transactions on Information Theory · 3 citations
with Mahsa Taheri, Néhémy Lim
DeepMoM: Robust Deep Learning With Median-of-Means
published 2022 · Journal of Computational and Graphical Statistics · 7 citations · first circulated 2021
with Shih-Ting Huang
Topology Adaptive Graph Estimation in High Dimensions
published 2022 · Mathematics · 5 citations · first circulated 2014
with Christian L. Müller, Christian Müller
Is there a role for statistics in artificial intelligence?
published 2021 · Advances in Data Analysis and Classification · 5 citations
with Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert Wilhelm, …
Copula-Based Normalizing Flows
published 2021 · International Conference on Machine Learning · 1 citations
with Mike Laszkiewicz, Asja Fischer
Statistical guarantees for regularized neural networks
published 2021 · Neural Networks · 6 citations
with Mahsa Taheri, Fang Xie
Integrating additional knowledge into the estimation of graphical models
published 2021 · The International Journal of Biostatistics · 12 citations · first circulated 2017
with Yunqi Bu
Tuning-free ridge estimators for high-dimensional generalized linear models
published 2021 · Computational Statistics & Data Analysis · 6 citations · first circulated 2020
with Shih-Ting Huang, Fang Xie
Tuning parameter calibration for personalized prediction in medicine
published 2021 · Electronic Journal of Statistics · 8 citations · first circulated 2019
with Shih-Ting Huang, Yannick Düren, Kristoffer H. Hellton
working paper 2020 · arXiv · 3 citations
Inference for high-dimensional instrumental variables regression
published 2019 · Journal of Econometrics · 35 citations · first circulated 2017
Oracle inequalities for high-dimensional prediction
published 2019 · Bernoulli · 7 citations
with Yu Lu, Irina Gaynanova
Tuning parameter calibration for ℓ 1 -regularized logistic regression
published 2019 · Journal of Statistical Planning and Inference · 22 citations · first circulated 2016
with Wei Li
Prediction error bounds for linear regression with the TREX
published 2018 · Test · 4 citations
Maximum regularized likelihood estimators: A general prediction theory and applications
published 2018 · Stat · 14 citations · first circulated 2017
with Rui Zhuang
Optimal two-step prediction in regression
published 2017 · Electronic Journal of Statistics · 5 citations · first circulated 2014
with Didier Chételat, Joseph Salmon
On the prediction performance of the Lasso
published 2016 · Bernoulli · 154 citations · first circulated 2014
with Arnak S. Dalalyan, Mohamed Hebiri
A practical scheme and fast algorithm to tune the lasso with optimality guarantees
published 2016 · Journal of Machine Learning Research · 36 citations · first circulated 2014
Compute Less to Get More: Using ORC to Improve Sparse Filtering
published 2015 · Proceedings of the AAAI Conference on Artificial Intelligence · 3 citations · first circulated 2014
with Sergio Guadarrama
Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX
published 2015 · Proceedings of the AAAI Conference on Artificial Intelligence · 40 citations · first circulated 2014
with Christian L. Müller, Christian Müller
New concentration inequalities for suprema of empirical processes
published 2014 · Bernoulli · 25 citations
with Sara van de Geer
The Group Square-Root Lasso: Theoretical Properties and Fast Algorithms
published 2013 · IEEE Transactions on Information Theory · 137 citations
with Florentina Bunea, Yiyuan She
How Correlations Influence Lasso Prediction
published 2012 · IEEE Transactions on Information Theory · 117 citations
with Mohamed Hebiri
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