Summer 2022

The seminar takes place online on Fridays at 1:15 pm in this BBB room.

Date Speaker Title of Presentation
20 May Daniel Rudolf (U Passau) Slice sampling
27 May Joachim Giesen Tensor Networks and Graphical Models
10 June Christian Höner zu Siederdissen Introduction to probabilistic Programming
17 June Michael Habeck Slice sampling on the sphere
24 June Stefan Perko Towards diffusion approximations for stochastic gradient descent
without replacement

Winter 2021/22

The seminar took place online on Fridays at 2:15 pm.

Date Speaker Title of Presentation
28 January Stefan Ankirchner Approximating Stochastic Gradient Descent with Diffusions
and Optimal Control of Hyperparameter
10 December Alexander Breuer CPU-Native Machine Learning Engines: An Overview
3 December Christian Höner zu Siederdissen Generalized Dynamic Programming
19 November Michael Habeck Markov Chain Monte Carlo for Bayesian Inference
5 November Sören Laue Backpropagation and Tensor Calculus
22 October Torsten Bosse Algorithmic Differentiation and Message Passing

Summer 2021

The seminar took place online on Fridays at 2:15 pm.

Date Speaker Title of Presentation
16 July Martin Bücker Hamiltonian Dynamics
9 July Christian Höner zu Siederdissen Generalized Algebraic Dynamic Programming
2 July Joachim Giesen Darwiche's Inference Compilation Approach for Exact Inference
18 June Sören Laue Introduction to Variational Inference
4 June Olaf Beyersdorff SAT Solving and Proof Complexity: A Brief Introduction