Shih-Ting’s paper on targeted deep learning has been accepted at Stat. Good job, Shih-Ting! ⛰️
Category Archives: Accepted 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.
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, Néhémy and Mahsa! 🥇🥇
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! 🕺🕺
Paper Accepted at ICML
Our paper “Copula-Based Normalizing Flows” has been accepted at ICML. Cheers, Mike and Asja! 🥂
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! 🎊
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! 👑
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.
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.
Paper on sparse deep learning accepted
Our paper “Statistical guarantees for regularized neural networks” has been accepted at Neural Networks. Congrats, Mahsa and Fang! 🧉
Johannes Lederer 