Understanding Towards Verified Stochastic Variational Inference For Probabilistic Programs
Let's dive into the details surrounding Towards Verified Stochastic Variational Inference For Probabilistic Programs. Presented by Wonyeol Lee. Presented at POPL'20.
Key Takeaways about Towards Verified Stochastic Variational Inference For Probabilistic Programs
- This is Lecture 23 of the course on
- Details *** Sorry, this event has been postponed one week to June 6, 2023 *** Topic: We will finish our discussion of
- Probabilistic Programming
- In this lecture, we study
- An example of fitting a factorized Gaussian
Detailed Analysis of Towards Verified Stochastic Variational Inference For Probabilistic Programs
Speaker: Prof. Hongseok Yang (KAIST CS) ERC AI seminar. Workshop on Dependable and Secure Software Systems 2019 Title:
This is the twentyfourth lecture in the
That wraps up our extensive overview of Towards Verified Stochastic Variational Inference For Probabilistic Programs.
