2 papers
math.ST2025
Cardinality Sparsity: Applications in Matrix-Matrix Multiplications and Machine Learning
Ali Mohades, Johannes Lederer
High-dimensional data has become ubiquitous across the sciences but presents computational and statistical challenges. A common approach to addressing these challenges is through s…
stat.ME2024
Extremes in High Dimensions: Methods and Scalable Algorithms
Johannes Lederer, Marco Oesting
Extreme value theory for univariate and low-dimensional observations has been explored in considerable detail, but the field is still in an early stage regarding high-dimensional s…