Our paper “Copula-Based Normalizing Flows” has been accepted at ICML. Cheers, Mike and Asja! 🥂
Category Archives: 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! 🎊
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! 🧉
Paper on FDR control accepted
Our paper “Aggregated false discovery rate control” has been accepted at Entropy. Great job, Fang! 🎬
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! ⛄
Papers accepted at AISTATS 2021
We got two papers accepted at this year’s AISTATS conference: “False Discovery Rates in Biological Networks” with Lu Yu and Tobias Kaufmann and “Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery” with Mike Laszkiewicz and Asja Fischer. Congratulations especially to the PhD students Lu (Toronto) and Mike (Bochum)! 🥳
Inference in Labor Economics
We have now put our paper “A pipeline for variable selection and false discovery rate control with an application in labor economics” on arXiv. The paper will be part of the Annual Congress of the Swiss Society of Economics and Statistics in 2021. Congratulations Sophie-Charlotte!