Johannes Lederer

Statistics, Machine Learning & Data Science

Menu

Skip to content
  • Home
  • Research
    • People
    • Vignettes
    • Publications
  • Teaching
  • Join/Contact

Category Archives: New Paper

Standard

Posted by

LedererLab

Posted on

September 26, 2019

Posted under

New Paper

Personalized Medicine

We have uploaded a new paper on prediction in personalized medicine here. Congratulations to Shih-Ting and Yannick, who are the student authors of this paper!

Standard

Posted by

LedererLab

Posted on

July 10, 2019

Posted under

New Paper

FDR Control in Regression and Graphical Modeling

We have uploaded two new papers on FDR control here and here on arXiv. Great job, Fang, Lu, and Tobias!

Standard

Posted by

LedererLab

Posted on

January 6, 2018

Posted under

New Paper

Prediction Error Bounds for Linear Regression With the TREX

We have uploaded a new paper that contains theoretical insights about our TREX here on arXiv. Thanks to my collaborators Jacob, Irina, and Christian!

Standard

Posted by

LedererLab

Posted on

October 10, 2017

Posted under

New Paper

Prediction With Maximum Regularized Likelihood Estimators

We have uploaded a paper titled “Maximum Regularized Likelihood Estimators: A General Prediction Theory and Applications” here on arXiv. We discuss “slow” rates for MRLEs in a wide range of settings. Cool stuff, Rui! ✌

Standard

Posted by

LedererLab

Posted on

September 16, 2017

Posted under

New Paper

Inference for high-dimensional nested regression

We have established inference for two-stage regression models, with both stages high-dimensional. The paper is available here. Awesome work, David! ⛰

Standard

Posted by

LedererLab

Posted on

April 18, 2017

Posted under

New Paper

Integrating Additional Knowledge Into Graph Estimation

We have developed an approach for integrating additional knowledge into parameter estimation in graphical models. The main idea is to funnel the knowledge into the tuning parameters. Find the paper here. Well done, Yunqi! 😁

Standard

Posted by

LedererLab

Posted on

October 4, 2016

Posted under

New Paper

Tuning Parameter Calibration in High-dimensional Logistic Regression With Theoretical Guarantees

We have extended the AV-scheme for tuning parameter calibration to logistic regression. Our approach provides efficient feature selection and is supported by theoretical guarantees. The paper can be downloaded here. Great job, Wei! 😎

Standard

Posted by

LedererLab

Posted on

September 26, 2016

Posted under

New Paper

Efficient Feature Selection With Large and High-dimensional Data

After presenting it in a couple of talks, we have now submitted the manuscript about efficient feature selection. In particular, we introduce a simple, yet effective algorithm based on Lasso optimization steps. The paper is available here. Congrats to Néhémy! 🙂

Standard

Posted by

LedererLab

Posted on

September 20, 2016

Posted under

New Paper

Graphical Models for Discrete and Continuous Data

We have uploaded a paper on graphical models. In this paper, we introduce a general framework that allows for discrete, continuous, and combined types of data. Find the manuscript here.

Standard

Posted by

LedererLab

Posted on

August 3, 2016

Posted under

New Paper

Oracle Inequalities for High-dimensional Prediction

We have just uploaded a new paper on high-dimensional prediction. It provides bounds for a wide range of penalized estimators – importantly, without making assumptions on the design matrix. Check it out here.

Post navigation

Newer posts →

Jobs

We offer research projects and theses for Master’s and Bachelor’s students. Apply here.

Archives

  • February 2021
  • January 2021
  • October 2020
  • September 2020
  • July 2020
  • June 2020
  • May 2020
  • April 2020
  • March 2020
  • February 2020
  • November 2019
  • September 2019
  • August 2019
  • July 2019
  • June 2019
  • March 2019
  • February 2019
  • January 2019
  • October 2018
  • June 2018
  • April 2018
  • March 2018
  • January 2018
  • November 2017
  • October 2017
  • September 2017
  • June 2017
  • April 2017
  • January 2017
  • December 2016
  • November 2016
  • October 2016
  • September 2016
  • August 2016
  • July 2016
Blog at WordPress.com.