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 |