[1. November, 11:00] Let's Talk ML

Markéta Jůzlová: Neural Architecture Search with Reinforcement Learning (slides)
The paper uses reinforcement learning to automatically generate architecture of a neural network for given task. Architecture is represented as a variable-length string. A controller network is used to generate such a string. The controller is trained with to assign higher probability architectures with better validation accuracy.

Petr Nevyhoštěný: Learning to Rank Applied onto Fault Localization (slides)
Debugging is a very time-consuming and tedious task which is also a large part of software development lifecycle. There already exist several techniques which aim to identify root causes of failure automatically. I will explain some of these techniques and describe how they can be combined together using a learning to rank algorithm.

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