Summer 2024

The seminar takes place online on Fridays at 2:15 pm in this BBB room.

Date	Speaker	Title of Presentation
31 May	Michael Habeck	Nested Sampling
17 May	Kaspar Kasche	Polynomial Calculus for Quantified Boolean Formulas
3 May	Paul Kahlmeyer	Symbolic Regression
19 April	Paul Rump	Convexity Certificates for Tensor Expressions

Winter 2023/24

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

Date	Speaker	Title of Presentation
2 February	Pekka Parviainen	A Structural Perspective on Learning Probabilistic Graphical Models
1 December	Alexander Breuer	Quantization and Mobile Inference
17 November	Andreas Löhne	Finite representation of quantile sets for multivariate data via vector linear programming
10 November	Andreas Goral	Model Counting and Sampling via Semiring Extensions

Summer 2023

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

Date	Speaker	Title of Presentation
7 July	Henrik Voigt	Tree-Grammar Autoencoders
23 June	Tim Hoffmann	Proof Complexity of Propositional Model Counting
9 June	Christian Komusiewicz	Bayesian Network Structure Learning
19 May	Philip Schaer	Gibbsian Polar Slice Sampling

Winter 2022/23

The seminar took place online Fridays at at 1:15 pm.

Date	Speaker	Title of Presentation
3 February	Joachim Giesen	Learning with Expert Advice
6 January	Stefan Ankirchner	Introduction to Multi-Armed Bandits
2 December	Christian Höner zu Siederdissen	Propositions as Types
25 November	Olaf Beyersdorff	QBF Solving and Proof Complexity
11 November	Alexander Breuer	Tensors in Torch

Summer 2022

The seminar took place online Fridays at at 1:15 pm.

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

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