• 2544c - Mini-Workshop: Probabilistic Perspectives in Neural Network-Based Machine Learning 

      [OWR-2025-50] Workshop Report 2025,50 (2025) - (26 Oct - 31 Oct 2025)
      Artificial neural networks (ANNs) have emerged as a powerful tool in modern machine learning, yet their mathematical foundations remain only partially understood. A key challenge is the inherently stochastic nature of ANN ...
    • 1546b - Mini-Workshop: Recent Developments in Statistical Methods with Applications to Genetics and Genomics 

      [OWR-2015-52] Workshop Report 2015,52 (2015) - (08 Nov - 14 Nov 2015)
      Recent progress in high-throughput genomic technologies has revolutionized the field of human genetics and promises to lead to important scientific advances. With new improvements in massively parallel biotechnologies, it ...
    • 1003c - Mini-Workshop: Semiparametric Modelling of Multivariate Economic Time Series With Changing Dynamics 

      [OWR-2010-5] Workshop Report 2010,5 (2010) - (17 Jan - 23 Jan 2010)
      Modelling multivariate time series of possibly high dimension calls for appropriate dimension-reduction, e.g. by some factor modelling, additive modelling, or some simplified parametric structure for the dynamics (i.e. the ...
    • 2508b - Mini-Workshop: Statistical Challenges for Deep Generative Models 

      [OWR-2025-8] Workshop Report 2025,8 (2025) - (16 Feb - 21 Feb 2025)
      Over the last decade, deep generative modelling has emerged as a powerful probabilistic tool in machine learning. The idea behind generative modelling is simple: transform noise to create new data that matches a given ...
    • 0648a - Mini-Workshop: Statistical Methods for Inverse Problems 

      [OWR-2006-51] Workshop Report 2006,51 (2006) - (26 Nov - 02 Dec 2006)
      Inverse problems appear naturally in a broad range of applications. Numerical analysis and statistics have – often independently – developed methods for regularisation and inversion. The aim of this mini-workshop is to ...
    • 0809c - Mini-Workshop: Time Series with Sudden Structural Changes 

      [OWR-2008-12] Workshop Report 2008,12 (2008) - (24 Feb - 01 Mar 2008)
      The workshop was concerned with models and tools for nonstationary time series, in particular for those which are piecewise stationary, but where the stochastic structure of the data generating process sometimes changes ...
    • 2611 - Modern and Emerging Phenomena in Machine Learning 

      [OWR-2026-11] Workshop Report 2026,11 (2026) - (08 Mar - 13 Mar 2026)
      Modern machine learning systems exhibit a range of phenomena that are not adequately explained by classical theories. The workshop examined recent progress toward a mathematical understanding of these phenomena, bringing ...
    • 1013 - Modern Nonparametric Statistics: Going Beyond Asymptotic Minimax 

      [OWR-2010-16] Workshop Report 2010,16 (2010) - (28 Mar - 03 Apr 2010)
      During the years 1975-1990 a major emphasis in nonparametric estimation was put on computing the asymptotic minimax risk for many classes of functions. Modern statistical practice indicates some serious limitations of the ...
    • 2340 - New Challenges in the Interplay between Finance and Insurance 

      [OWR-2023-44] Workshop Report 2023,44 (2023) - (01 Oct - 06 Oct 2023)
      The aim of this workshop was to convene experts for fostering the discussion and the development of innovative approaches in insurance and financial mathematics. New challenges like price instability, huge insurance ...
    • 1608b - New Developments in Functional and Highly Multivariate Statistical Methodology 

      [OWR-2016-12] Workshop Report 2016,12 (2016) - (21 Feb - 27 Feb 2016)
      The central focus of the workshop was on recent developments in statistical techniques for highly multivariate data and functional data. The programme delivered talks on state-of-the-art research in the area, with a number ...
    • 2050a - New Directions in Rough Path Theory (online meeting) 

      [OWR-2020-40] Workshop Report 2020,40 (2020) - (06 Dec - 12 Dec 2020)
      Rough path theory emerged as novel approach for dealing with interactions in complex random systems. It settled significant questions and provided an effective deterministic alternative to Itô calculus, itself a major ...
    • 1437 - New Horizons in Statistical Decision Theory 

      [OWR-2014-41] Workshop Report 2014,41 (2014) - (07 Sep - 13 Sep 2014)
      The classical metric theory of statistical models (experiments) has recently been extended towards an asymptotic equivalence paradigm, allowing to classify and relate problems which are essentially infinite dimensional and ...
    • 0447 - New Inference Concepts for Analysing Complex Data 

      [OWR-2004-52] Workshop Report 2004,52 (2004) - (14 Nov - 20 Nov 2004)
      The main purpose of this workshop was to assemble international leaders from statistics and machine learning to identify important research problems, to cross-fertilize between the disciplines, and to ultimately start ...
    • 2505 - Overparametrization, Regularization, Identifiability and Uncertainty in Machine Learning 

      [OWR-2025-4] Workshop Report 2025,4 (2025) - (26 Jan - 31 Jan 2025)
      In machine learning, a field addressing the extraction of information and structure from finite data with the means of computer science and mathematics, maps from finite-dimensional spaces of data or computations into ...
    • 1521 - Probabilistic Techniques in Modern Statistics 

      [OWR-2015-26] Workshop Report 2015,26 (2015) - (17 May - 23 May 2015)
      The aim of the workshop was to bring together researchers in modern probability theory and statistics to discuss recent advances and challenging open problems at the intersection of both fields. It focussed on the most ...
    • 0645 - Qualitative Assumptions and Regularization in High-Dimensional Statistics 

      [OWR-2006-49] Workshop Report 2006,49 (2006) - (05 Nov - 11 Nov 2006)
      Important and exciting developments are currently underway in nonparametric statistics involving inter-play between qualitative constraints, penalization, and regularization methods. Some of these developments are taking ...
    • 2220 - Re-thinking High-dimensional Mathematical Statistics 

      [OWR-2022-25] Workshop Report 2022,25 (2022) - (15 May - 21 May 2022)
      The workshop highlighted recent theoretical advances on inference in high-dimensional statistical models based on the interplay of techniques from mathematical statistics, machine learning, theoretical computer science ...
    • 0743 - Reassessing the Paradigms of Statistical Model-Building 

      [OWR-2007-50] Workshop Report 2007,50 (2007) - (21 Oct - 27 Oct 2007)
      Statistical model-building is the science of constructing models from data and from information about the data-generation process, with the aim of analysing those data and drawing inference from that analysis. Many statistical ...
    • 0712 - Semiparametric and Nonparametric Methods in Econometrics 

      [OWR-2007-15] Workshop Report 2007,15 (2007) - (18 Mar - 24 Mar 2007)
      The main objective of this workshop was to bring together mathematical statisticians and econometricians who work in the field of nonparametric and semiparametric statistical methods. Nonparametric and semiparametric methods ...
    • 0912 - Sparse Recovery Problems in High Dimensions: Statistical Inference and Learning Theory 

      [OWR-2009-16] Workshop Report 2009,16 (2009) - (15 Mar - 21 Mar 2009)
      The statistical analysis of high dimensional data requires new techniques, extending results from nonparametric statistics, analysis, probability, approximation theory, and theoretical computer science. The main problem ...