Dear all,
this is a reminder for Sebastian Trimpe's talk on Uncertainty Bounds for Gaussian Process Regression with Applications to Safe Control and Learning taking place today at 16:30 in room 5053.2 and on Zoom. Please find the details below.
Gaussian Process (GP) regression is a popular nonparametric machine learning method that provides uncertainty estimates for its predictions. While GPs are based on Bayesian principles, also frequentist uncertainty bounds are available, which are required for applications in learning-based control or safe reinforcement learning. However, the available uncertainty bounds are typically too conservative to be useful in applications. This often leads practitioners to replacing these bounds by heuristics, thus breaking all theoretical guarantees. To address this problem, we introduce new GP uncertainty bounds that are rigorous, yet practically useful at the same time. In particular, the bounds can be explicitly evaluated and are much less conservative than state of the art results. After an introduction to Gaussian processes, we will discuss these results, and present applications to learning-based control and safe reinforcement learning.Part of the programme of the research training group UnRAVeL is a series of introductory lectures on the topics of "randomness" and "uncertainty" in UnRAVeL’s research thrusts: Algorithms and complexity, verification, logic and languages, and their application scenarios. The main aim is to provide doctoral researchers as well as master students a broad overview of the subjects of UnRAVeL.
Science undergoes continuous change and lives from the constant quest for novel and better results, which are presented at conferences and in journals. This year, 10 UnRAVeL professors will present some of their most recent research successes.
Everyone interested, in particular doctoral researchers and master students, are invited to attend the UnRAVeL lecture series 2022 and engage in discussions with the researchers.The talks take place on Tuesdays, 16:30–18:00 in room 5053.2 in
the ground floor of building E2. All events are hybrid. To join
remotely, please use https://rwth.zoom.us/j/96003885007?pwd=aUczMVdVU0ZXVGtQUFpwQnJHQUFhUT09
/ Meeting ID: 960 0388 5007 / Passcode: 273710
Please find a list of all upcoming talks on the UnRAVeL
website and below:
We are looking forward to seeing many of you in the UnRAVeL survey lecture "What's New in UnRAVeL?".
Best regards,
Andreas Klinger, Birgit Willms, and Tim Seppelt