My children broke up from school this past weekend, which seems as good a reason as any to call this ‘end of term’ for The Morning Paper. I’ll be taking a break until the New Year, topping up my reading lists and getting ready for a whole new crop of papers and discoveries. The Morning Paper will resume on Monday 6th January.
Since term began on the 19th August we’ve looked at 50 different papers, and I had the pleasure of attending VLDB and HPTS in person as well. I learned a ton! I hope you found something you enjoyed in the paper selections as well.
Here’s a small selection of my personal highlights from the term, in case you missed any of them (in the order in which they originally appeared on the blog):
- Procella: unifying and serving analytical data at YouTube
- The secret-sharer: evaluating and testing unintended memorization in neural networks
- 150 successful machine learning models: lessons learned at Booking.com
- Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
- Local-first software: you own your data, in spite of the cloud
- Mergeable replicated data types
- Declarative assembly of web applications from pre-defined concepts (because it made me think hard!)
- How do committees invent? (Yes, we only looked at that last week, but I love these older papers with their clear and direct writing styles)
I’m looking forward to starting another decade of learning as we roll into 2020!
Thanks, Adrian.
Thanks so much! Happy holidays.
Don’t forget SoCC ’19!
Thanks
Hi Adrian,
First of all Happy Holidays!
Any thought on doing a TMP review of Sparse Merkle Tree (SMT)?
Regards,
Soumen