Event Calendar
Keynote: "Outrigger local polynomial regression"
The workshop for registered participants is complemented by a keynote by Richard Samworth to which everyone interested is invited, no registration necessary!
For more than two centuries, least-squares regression has been a cornerstone of statistical practice, while classical nonparametric smoothing methods have long served as standard tools for analysing complex data. In this workshop, we will revisit these methods from a modern perspective and ask: Are we making the best possible use of them? Recent work in statistical theory by Richard Samworth and others shows that these familiar methods can often be improved by incorporating additional structural information, such as shape constraints or properties of the underlying error distribution.
Richard Samworth will explore recent developments in distributionally adaptive statistical methods. Richard Samworth is Professor of Statistical Science and Director of the Statistical Laboratory at the University of Cambridge. A Fellow of the Royal Society, he is the recipient of numerous distinctions, including the COPSS Presidents' Award, the David Cox Medal and the Royal Statistical Society Guy Medal in Silver in 2025. His research has made fundamental contributions to nonparametric statistics, statistical learning theory, and high-dimensional methodology, particularly in shape-constrained estimation and adaptive nonparametric procedures. A defining feature of his research is the combination of rigorous theoretical guarantees with methods designed to be computationally efficient and practically applicable.
Richard Samworth will present recent work with Elliot H. Young and Rajen D. Shah on "Outrigger local polynomial regression“. A preprint of the paper is available on arXiv https://arxiv.org/abs/2603.11282.
free
Richard Samworth
University of Cambridge
Angela Hühnerfuß
KIT Graduate School Computational and Data Science (KCDS)
KIT-Center MathSEE
Karlsruhe
Mail: kcds ∂does-not-exist.kit edu
https://www.kcds.kit.edu
The CDS Runners team ran like the wind at the 12th KIT Meisterschaft, a 10km fun run at KIT Campus South and, thanks to the fastest four runners in the team, came in as team 13 of 59! Congratulations!
The AI Community at KIT is active, but spread-out: KIT Centers MathSEE and KCIST aim to bring AI researchers together in this joint workshop. Join us at Triangel Space for inspiring talks by Benjamin Unger, Maria Francesca Spadea and Tobias Käfer and show your AI-related research at our poster session.
Call for poster contributions now open!
More info, registration, poster submission
In this year's summer school, we will cover both fundamental concepts and practical applications of Graph Neural Networks. Participants can expect a mix of lectures and interactive sessions that provide insight into the mathematical foundations as well as real-world use cases of graph-based machine learning methods.
More info and registration
This year's group retreat will be from November 2-4, 2026 at the Black Forest. Save the date!
More info
Find an overview of past events in our timeline.
link
The workshop was co-organized by doctoral researchers from HGS MathComp (Heidelberg) and KCDS and provided a smooth introduction to a challenging, yet highly relevant topic: Stochastic partial differential equations in applied mathematics. It took place from March 9-11, 2026 in Heidelberg.
More info
A worthwhile journey to KIT Institute of Statistics: Talks by Sebastian Engelke, Linda Mhalla, Gabriele Messori, Petra Friederichs gave insights into state-of-the-art research in statistics and data science for climate and weather extremes. The workshop took place on November 20, 2025 at the Campus South outpost in Blücherstraße.
Read more here
A friendly place in the Black Forest, sunny autumn weather, good food, lively (scientific) discussions, board games and activities ranging from powerpoint karaoke to trampoline jumping were the ingredients of a lovely KCDS Retreat this year! It took place from November 10-12, 2025.
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Short courses and an interactive tutorial on Neural Operators and Gaussian Processes, along with a poster session and lots of opportunities for networking with other researchers - that was the KCDS Summer School 2025! It took place from August 27-29, 2025 at KIT Campus South.
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KIT International Excellence Fellow Prof. Victoria Stodden invited the KIT community, especially early career researchers, to create ideas and proposals for facilitating research that is data-, compute-, or AI-enabled - taking reproducibility to action! The workshop took place on January 21, 2025 at Triangel Studio.
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From Computational and Data Science to Industry and Academia - four KIT Alumni gave insights into their jobs during a lively panel discussion on October 11, 2024 at Triangel Space.
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The hackathon on precipitation estimation with weather radar and rain gauge data took place from October 8-11, 2024 at Triangel Studio.
Read moreAbout KCDS
Coordination KIT Graduate School Computational and Data Science
+49 721 608-47748
angela huehnerfuss ∂does-not-exist.kit edu
www.kcds.kit.edu/