Introduction to Cs 159 Spring 2020 Lecture 6
Let's dive into the details surrounding Cs 159 Spring 2020 Lecture 6. Slides: https://drive.google.com/file/d/1jO4pOa-sAq2NPXw_lw4EShSUjIw5YTtW/view Class: ...
Cs 159 Spring 2020 Lecture 6 Comprehensive Overview
Amortized Inference in Deep Generative Models Slides: ... Structured Procrastination for Automated Algorithm Design. (With obligatory technical difficulty!) Relevant Papers: ... Learning to Optimize via Policy Learning Slides: https://drive.google.com/open?id=1RITJqk7JV1_aw-Kpc8i86wUrtf-XJ3Rr Class: ...
Automated Compiler Optimization using Machine Learning Slides: ...
Summary & Highlights for Cs 159 Spring 2020 Lecture 6
- Safe Exploration for Reinforcement Learning Slides: ...
- Neural Architecture Search Slides: https://drive.google.com/file/d/1pZ0jULB0TFocbilgTYv1kYpGZU7WySRw/view?usp=sharing ...
- Data-Driven Solvers for Inverse Problems. Slides: https://drive.google.com/open?id=16KF_ZahLq7M7GScGP5A6M13RTOcpe_ZI ...
- Slides: https://drive.google.com/file/d/1zJOvJ4KsFSipiIfhNujUEgaNFslIBYMK/view Class: ...
- Design by Adaptive Sampling & Practical Considerations for Biochemistry Applications (Protein Engineering) Slides: ...
That wraps up our extensive overview of Cs 159 Spring 2020 Lecture 6.
