Understanding From Optimization To Probabilistic Programming
Let's dive into the details surrounding From Optimization To Probabilistic Programming. In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
Key Takeaways about From Optimization To Probabilistic Programming
- Recorded at the ML in PL 2019 Conference, the University of Warsaw, 22-24 November 2019. Martin Jankowiak (Uber AI Labs) ...
- Welcome to The Learning Studio! In this twenty-ninth episode of our Mathematics Series, we explore
- This talk shows how to make smarter, safer AI that understands the world like we do, using a new symbolic medium that I helped ...
- Spotlight video for 30th Conference on Advances in Neural Information Processing Systems (2016). Paper is available here ...
- Vikash Mansinghka, MIT https://simons.berkeley.edu/talks/vikash-mansinghka-10-06-2016 Uncertainty in Computation.
Detailed Analysis of From Optimization To Probabilistic Programming
This video is a continuation of the previous video, Episode [08x10]. In this video, get a high-level overview of the theory, concepts ... [Chair] Our next talk will be by Daniel Ritchie, " Probabilistic programming
Probabilistic
That wraps up our extensive overview of From Optimization To Probabilistic Programming.
