Johannes Lederer

Statistical Learning, Artificial Intelligence & Data Science

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Category Archives: Accepted Paper

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Posted by

LedererLab

Posted on

February 27, 2023

Posted under

Accepted Paper

Paper on Targeted Deep Learning Accepted

Shih-Ting’s paper on targeted deep learning has been accepted at Stat. Good job, Shih-Ting! ⛰️

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Posted by

LedererLab

Posted on

December 20, 2022

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Accepted Paper, New Paper

New Paper in AStA Adv. Stat. Anal.

We have a new paper with the title “Statistical guarantees for sparse deep learning” in AStA Adv. Stat. Anal.

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LedererLab

Posted on

August 23, 2022

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Accepted Paper

Paper Accepted at IEEE TIT

Our paper “Balancing Statistical and Computational Precision and Applications to Penalized Linear Regression with Group Sparsity” has been accepted at the IEEE Transactions on Information Theory. Well deserved, NΓ©hΓ©my and Mahsa! πŸ₯‡πŸ₯‡

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Posted by

LedererLab

Posted on

June 14, 2022

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Accepted Paper

Paper Accepted at JCGS

Our paper “DeepMoM: Robust Deep Learning With Median-of-Means” has been accepted at the Journal of Computational and Graphical Statistics. Awesome job, Shih-Ting! πŸ•ΊπŸ•Ί

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LedererLab

Posted on

May 17, 2022

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Accepted Paper

Paper Accepted at ICML

Our paper “Copula-Based Normalizing Flows” has been accepted at ICML. Cheers, Mike and Asja! πŸ₯‚

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LedererLab

Posted on

January 23, 2022

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Accepted Paper

Depth-Normalization Paper Accepted

Our paper “Depth Normalization of Small RNA Sequencing: Using Data and Biology to Select a Suitable Method” has been accepted at Nucleic Acids Research. Congratulations, Yannick and Li-Xuan! 🎊

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Posted by

LedererLab

Posted on

October 27, 2021

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Accepted Paper

Lasso: tuning-parameter calibration and inference

Our paper “Estimating the lasso’s effective noise” has been accepted at JMLR. A “thank you” to our wonderful collaborator Michael! πŸ‘‘

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Posted by

LedererLab

Posted on

July 17, 2021

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Accepted Paper

Personalized Medicine

Our paper “Tuning parameter calibration for prediction in personalized medicine” has been accepted at Electronic Journal of Statistics. Congratulations to our students Yannick and Shih-Ting, and a “thank you” to our wonderful collaborator Kristoffer.

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Posted by

LedererLab

Posted on

July 7, 2021

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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

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! πŸ§‰

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