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Interdisciplinary Cluster Workshop "Challenges in Statistical Inference" Dates: 7-9 Nov 2016 Venue: International Graduate School of Science and Engineering (IGSSE) Boltzmannstr. 17, 85478 Garching Organised by: Excellence Cluster Universe, TUM, LMU and MPA Event website: www.universe-cluster.de/data2016 PROGRAM MONDAY, NOV 7 Session (i) Model comparison and testing – Chair: Torsten Enßlin (MPA) 9:00-9:45 Allen Caldwell (MPP) Overview of Model Comparison and Testing Approaches 9:45-10:15 Sebastian Grandis (LMU) Quantifying Tensions between Independent Data Sets 10:15-11:00 Coffee break 11:00-11:30 Daniel Pumpe (MPA) Dynamic System Classifier 11:30-12:00 Jeanette Lorenz (LMU) Model comparison challenges in ATLAS 12:00-14:00 Lunch Session (ii) Data interpretation for complex models – Chair: Jens Jasche (TUM) 14:00-14:45 Rüdiger Westermann (TUM) Scalable Scientific Data Visualization 14:45-15:15 Tijana Janjic Pfander (LMU) Challenges of atmospheric data assimilation 15:15-15:45 Coffee break 15:45-16:15 Jakob Knollmüller (MPA) Bayesian Component Separation 16:15-16:45 Johannes Buchner (PUC) Population inference in Astronomy - Demographics from limited samples, luminosity functions, hierarchical models

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TUESDAY, NOV 8 Session (iii) Machine learning – Chair: Fabrizia Guglielmetti (MPA) 9:00-9:45 Giuseppe Longo (University Federico II, Napoli and Caltech, USA) Machine learning methods in Astrophysics 9:45-10:15 Ben Hoyle (LMU) Machine learning in Cosmology 10:15-10:45 Coffee break 10:45-11:15 Mara Salvato (MPE) Rosat-2RXS counterparts using Nway – An accurate algorithm to pair sources simultaneously between N catalogs 11:15-11:45 René Fassbender (OmegaLambdaTec) New Smart Data Services of the Digital Future 11:45-12:15 Maksim Greiner (TUM) Mixture models in high dimensions 12:15-14:00 Lunch 14:00-14:30 Philipp Frank (LMU) SOMBI: Bayesian identification of parameter relations in unstructured cosmological data Session (iv) Information theory – Chair: Stefan Hilbert (LMU) 14:30-15:15 John Skilling (MaxEnt Data Consultant Ltd.) Compressive Computation 15:15-15:45 Torsten Enßlin (MPA) Information field theory 15:45-16:15 Coffee break 16:15-16:45 Isabell Franck (TUM) Quantification of model inadequacy within high-dimensional Bayesian inverse problems 16:45-17:15 Reimar Leike (MPA / LMU) Operator Calculus for Information Field Theory 17:15-17:45 Theo Steininger (MPA) NIFTy and D2O: A framework for numerical IFT implementations 18:30 DINNER (self-paid) in Garching

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WEDNESDAY, NOV 9 Session (v) Data-constrained simulation – Chair: Frederik Beaujean (LMU) 9:00-9:30 Jens Jasche (TUM) Large scale Bayesian inference in cosmology 9:30-10:00 Leonardo Testi (ESO) Modeling star and planet formation: how to infer the physics from observations? 10:00-10:30 Wolfgang Kerzendorf (ESO) Physical Modelling of X-Shooter data 10:30-11:00 Coffee break 11:00-11:30 Julien Gagneur (TUM) Modeling gene expression from genetic data 11:30-12:00 Wolfgang Enzi (TUM) 12:00-14:00 Lunch Session (vi) Optimization and optimal control – Chair: Andreas Müller (TUM) 14:00-14:45 Valeriy Khakhutskyy (TUM) Adaptive sparse grids for high-dimensional machine learning 14:45-15:15 Frederik Beaujean (LMU) Sampling from a Gaussian in high dimensions 15:15-15:45 Udo von Toussaint (IPP) Robust Parameter estimation 15:45-16:15 Coffee break 16:15-16:45 Boris Vexler (TUM) Sparse Optimal Control in Measure Spaces 16:45-17:15 Fabrizia Guglielmetti (MPA) Performance enhancement via surrogate minimization Discussion session 17:15-17:45 Discussion Scientific Organising Committee: Frederik Beaujean (LMU) Torsten Enßlin (MPA) Fabrizia Guglielmetti (MPA) Stefan Hilbert (LMU) Jens Jasche (TUM) Andreas Müller (TUM); Chair