About

Welcome to the chair of Statistical Learning and Data Science at the LMU of Prof. Dr. Bernd Bischl (formerly working group Computational Statistics until early 2020).

Our chair is composed of the following research groups, which are led by at least one PostDoc:

• Automated Machine Learning and Optimization
• Boosting
• Causal and Fair Machine Learning
• Empirical Machine Learning
• Interpretable Machine Learning / Explainable AI
• Machine Learning for Survival Analysis
• Methods Beyond Supervised Learning
• Natural Language Processing
• Probabilistic Machine and Deep Learning
• Research Software Engineering

Our Machine Learning Consulting Unit offers consulting regarding the application and evaluation of machine learning methods for (applied) scientists from the LMU, MCML and other interested parties.

Our research areas of interest are

• statistical computing and computational statistics
• predictive modeling, especially non-linear classification and regression
• boosting and ensembles
• deep learning
• automated machine learning
• causal inference
• fair machine learning
• empirical machine learning and benchmarking
• model- and variable selection
• expensive black-box / Bayesian optimization
• interpretable machine learning
• machine learning based survival analysis
• research software development

Contact

Department of Statistics

Chair of Statistical Learning & Data Science

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

For all administrative inquiries please contact our office administration: slds [at] stat.uni-muenchen.de

Tel: +49 89 2180 2814 (administration)

Fax: +49 89 2180 5308

For general inquiries please contact our scientific manager: juliane.lauks [at] stat.uni-muenchen.de

News

All News

• Huge success at ECML PKDD 2023

  The 2023 Best Paper Award for the Research Track goes to “Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry” by Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer.

• AutoML Fall School to be hosted in Munich

  The 3rd AutoML Fall School will be hosted in Munich from Nov 27 - Nov 30 and early bird tickets are available until the end of September.

• With flying colors at the ai.bay 2023

  Daniel Schalk and Lennart Schneider win this year’s ai.bay Hackathon. February 2023

• 1st World Conference on eXplainable Artificial Intelligence (xAI 2023)

  Call for papers for the Special Track on Model-agnostic Explanations by Dr. Giuseppe Casalicchio and Julia Herbinger - July 26-28, 2023 - Lisboa, Portugal (abstract deadline: April 15, 2023)

• Great success for AI research in Munich

  The Munich Center for Machine Learning (MCML), a joint initiative of LMU and TUM, has been granted funding as a permanent establishment following a positive evaluation. July 2022

• Interpretable ML at Online BLIZ Summer School

  Dr. Giuseppe Casalicchio, Christoph Molnar and Julia Herbinger will briefly present some basic topics of interpretable machine learning including a hands-on use case with the R package iml at the Online BLIZ Summer School in Multidisciplinary Research and Synthesis on July, 5th 2021.

• 2021 SIGEVO Award

  Prof. Dr. Bernd Bischl recently received the 2021 SIGEVO Impact Award for the GECCO 2011 publication:
  Mersmann, O., Bischl, B., Trautmann, H., Preuss, M., Weihs, C., Rudolph, G. Exploratory landscape analysis (2011) Genetic and Evolutionary Computation Conference, GECCO’11, pp. 829-836.
  Established in 2009, the SIGEVO Impact award recognizes up to three papers a year that were published in the GECCO conference 10 years earlier and which are both highly cited and deemed to be seminal by the SIGEVO Executive Committee.

• LMU/MCML as co-organizers of the 2021 DSSGx Summer Initiative

  As part of the MCML the Chair of Statistical Learning and Data Science joins forces with the University of Warwick under the DSSGx UK chapter of the DSSG Foundation supported by the Alan Turing Institute to organise the prestigious 2021 DSSGx Summer Projects, partaking in the renowned Data Science for Social Good (DSSG) initiative. The programme will run for 12 weeks from 7 June to 27 August 2021, and will be entirely online due to COVID-19.

• Former Working Group for Computational Statistics turns into the Chair of Statistical Learning and Data Science (1.5.2020)

  Since May 1st, 2020, Prof. Dr. Bernd Bischl holds the chair of Statistical Learning and Data Science at the Department of Statistics, LMU Munich. Previously the head of the working group for Computational Statistics, Prof. Dr. Bischl now heads nine PostDocs, 26 PhD candidates and numerous student assistants.

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