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