Johannes Lederer

Statistics, Machine Learning & Data Science

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Author Archives: LedererLab

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Posted by

LedererLab

Posted on

July 7, 2021

Posted under

Accepted Paper

Statistics and Artificial Intelligence

Our paper “Is there a role for statistics in artificial intelligence?” has been accepted at Advances in Data Analysis and Classification.

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Posted by

LedererLab

Posted on

June 7, 2021

Posted under

New Paper

Vanishing gradients

We have analized the vanishing-gradient problem in deep learning and potential remedies here. Congratulations, Leni! 🏄

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Posted by

LedererLab

Posted on

June 1, 2021

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New Paper

Two new papers on deep learning

We two new papers on deep learning, one on targeted deep learning and one on robust deep learning. Well done, Shih-Ting!

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Posted by

LedererLab

Posted on

May 17, 2021

Posted under

Published Paper

Regularized neural networks

The published version of “Statistical guarantees for regularized neural networks” can now be found
here.

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Posted by

LedererLab

Posted on

April 27, 2021

Posted under

Accepted Paper

Paper on sparse deep learning accepted

Our paper “Statistical guarantees for regularized neural networks” has been accepted at Neural Networks. Congrats, Mahsa and Fang! 🧉

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Posted by

LedererLab

Posted on

March 18, 2021

Posted under

Published Paper

Two recent biostats papers now online

The published versions of our papers “Tuning-free ridge estimators for high-dimensional generalized linear models” and “Integrating additional knowledge into the estimation of graphical models” are now accessible online
here and here, respectively.

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Posted by

LedererLab

Posted on

February 17, 2021

Posted under

Published Paper

FDR control rev.

Our paper “Aggregating Knockoffs for False Discovery Rate Control with an Application to Gut Microbiome Data” has now been published. Congratulations again to Fang!

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Posted by

LedererLab

Posted on

February 11, 2021

Posted under

Accepted Paper

Paper on FDR control accepted

Our paper “Aggregated false discovery rate control” has been accepted at Entropy. Great job, Fang! 🎬

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Posted by

LedererLab

Posted on

February 10, 2021

Posted under

Accepted Paper

Paper on brain connectivities accepted

Our paper “Integrating additional knowledge into the estimation of graphical models” is now accepted at the International Journal of Biostatistics. Congratulations, Yunqi! ⛄

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Posted by

LedererLab

Posted on

January 27, 2021

Posted under

New Paper

Activation Functions in Artificial Neural Networks

We have composed an overview of activation functions in artificial neural networks here.

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