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When and where

In the summer term 2024, the institute seminar will take place Wednesdays 14:30 in room PRÜ-1103.

What?

In the summer semester, we focus on the topic of causality and causal inference following the book "Elements of Causal Inference" by Jonas Peters, Dominik Janzing and Berhard Schölkopf (MIT Press, 2017).

On Correlation and Causation
https://xkcd.com/552/
DateTopicPresenter/Lecturer
17.01.2024On a question of conditional dependenceProf. Hans-Jörg Starkloff
24/04/2024Statistics and CausalityProf. Hans-Jörg Starkloff
08.05.2024Introduction to Causal Inference
(Sections 1 and 2)		Prof. Björn Sprungk
15.05.2024Structural Causal Models (SCM) and Interventions
(Section 6.1 - 6.3)		Dr. Christoph Brause
29 May 2024Counterfactuals, Markov Property, Faithfulness and Causal Minimality
(Section 6.4 - 6.5)		Kevin Bitterlich
05 June 2024Calculation of Intervention Distributions, Do-Calculus and Falsifiability
(Section 6.6 - 6.8)		Prof. Björn Sprungk
12.06.2024Causal Inference with PythonMatthias Werner
19.06.2024Possible Outcomes and Structural Identifiability in SCM
(Section 6.9 and 7.1)		Konstantin Ibadullaev
26.06.2024Methods for Structural Identification in SCM
(Section 7.2)		Hanyue Gu
03.07.2024SCM and Hidden Variables
(Section 9.1 to 9.4)		Dr. Anna Chekhanova
10.03.2024SCM for Time Series
(Section 10)		Dr. Andreas Wünsche

Past talks

  • 08.12.2023
    Jun.-Prof. Daniel Walter (HU Berlin)
    Source estimation and optimal sensor placement in spaces of measures
  • 16.11.2023
    Jannis Chemseddine (TU Berlin)
    When does minimising the joint error yield good posterior reconstructions?
  • 16.11.2023
    Paul Hagemann (TU Berlin)
    Stability of Conditional Generative Models w.r.t. Observations
  • 20.06.2023
    Dr. Orkun Furat (U Ulm)
    Virtual materials testing: Workflow from image processing, via stochastic modelling to numerical simulation for establishing structure-property relationships
  • 26.05.2023
    Prof. Marcus Wiens (TU BA Freiberg)
    Measures for criticality and useful redundancy for the design of robust supply networks

  • 06.12.2022
    Prof. Rudolf Kruse (U Magdeburg)
    Uncertain Knowledge in Artificial Intelligence: Methods and Applications
  • 09.11.2022
    Prof. Dietrich Stoyan (TU BA Freiberg)
    On the Alleged Proof of the Market Hypothesis on the Origin of the Covid-19 Pandemic
  • 28.07.2022
    Prof. Amir Sagiv (Columbia University)
    A Measure Perspective on Uncertainty Propagation
  • 13.07.2022
    Prof. Kengo Kamatani (ISM Osaka)
    Non-reversible guided Metropolis kernel
  • 29.06.2022
    Jun.Prof. Conrad Jackisch (TU BA Freiberg)
    Uncertainties in the wild - Experiences from an interdisciplinary research project on adaptation to climate change on the North Sea coast
  • 14.06.2022
    Prof. Daniel Rudolf (U Passau)
    Slice Sampling
  • 01.06.2022
    Prof. Dietrich Stoyan (TU BA Freiberg)
    Adaptation tests for data from sieve analyses
  • 11.05.2022
    Prof. Sebastian Schmon (U Durham)
    Optimal scaling of random-walk Metropolis algorithms using Bayesian large-sample asymptotics
  • 15.02.2022
    Kevin Bitterlich (TU BA Freiberg)
    Non-reversible Metropolis-Hastings algorithms
  • 01.02.2022
    Prof. Hans-Jörg Starkloff (TU BA Freiberg)
    On the existence of solutions of random ordinary differential equations in scales of Banach spaces
  • 18.01.2022
    Jun.Prof. Björn Sprungk (TU BA Freiberg)
    Stability of Uncertainty Quantification and Bayesian Inverse Problems

  • 30.11.2021
    Sebastiano Grazzi (TU Delft)
    The Boomerang sampler
  • 16.11.2021
    Prof. Dietrich Stoyan (TU BA Freiberg)
    Point Process Statistics in Particle Size Statistics
  • 02.11.2021
    Dr. Philipp Wacker (FAU Erlangen-Nürnberg)
    Deterministic Dynamics of Ensemble Kalman Inversion
  • 19.10.2021
    Paula Klinger (TU BA Freiberg)
    Monte Carlo calculation of risk measures with application in the energy industry
  • 13.07.2021
    Viacheslav Natarovskii (GAU Göttingen)
    Slice Sampling
  • 15.06.2021
    Dr. Simon Weissmann (U Heidelberg)
    Analysis of the ensemble Kalman inversion: from discrete to continuous time
  • 01.06.2021
    Markus Dietz (TU BA Freiberg)
    On a stochastic arc furnace model
  • 18.05.2021
    Prof. Dr. Han Cheng Lie (U Potsdam)
    Stochastic optimal control of SDEs for rare events and importance sampling of path functionals
  • 04.05.2021
    Dr. Jonas Latz (U Cambridge)
    Analysis of Stochastic Gradient Descent in Continuous Time
  • 20.04.2021
    Dr Jeremy Budd (TU Delft)
    Theory and Image Segmentation with Graph MBO and Allen-Cahn