Note: I'm updating this gist as I encounter new reviews, so make sure you're reading the latest revision!
Just as the previous year I collected (and keep doing so) links to various summaries and takeaways from this year's NIPS.
- NIPS 2016 Symposium on People and machines: Public views on machine learning, and what this means for machine learning researchers. (Notes and panel discussion) by /u/gcr
- NIPS 2016 summary, wrap up, and links to slides by /u/beamsearch
- Post NIPS Reflections by Neil Lawrence
- [Some general take aways from #NIPS2016](https://medium.com/@IgorCarron/some-general-take-aways-from-ni