Bayesian Journal Club TU Berlin

Journal Club on Bayesian inference and machine learning at TU Berlin

Next meetings and topics

The next meeting will happen the 4th of December (Wednesday) at 15:00 in MAR 4.020. The paper will be GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration and the moderator will be Ludwig

You can put your suggestions and vote for papers you would like to see treated in the following poll

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Title Person suggesting Date Link
Gaussian Process Conditional Density Estimation Theo

For suggestions about the organisation itself mail me

Past Topics

Date Topic Link Moderator
14th March 2018 Variational Inference with Normalizing Flows Florian
25th April 2018 The Generalized Reparameterization Gradient Théo
06th June 2018 Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Dimitra
13th June 2018 Yes, but Did It Work?: Evaluating Variational Inference Theo
28th November 2018 Neural Processes Theo
19th December 2018 Neural Ordinary Differential Equations Florian
23rd January 2019 Semi-Implicit Variational Inference Christian
13th February 2019 Maximum Entropy Generators for Energy-Based Models Pan
11th April 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression Theo
31st October 2019 Learning Invariances using the Marginal Likelihood Theo
20th November 2019 Stochastic Thermodynamics of Learning Cesar