Choosing a cloud DBMS: architectures and tradeoffs

August 30, 2019May 25, 2020 ~ Adrian Colyer ~ 3 Comments

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., VLDB'19 If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? There’s a broad set of choices including where you store the data, whether you run your own DBMS nodes or use ... Continue Reading

Interactive checks for coordination avoidance

August 28, 2019May 25, 2020 ~ Adrian Colyer ~ 4 Comments

Interactive checks for coordination avoidance Whittaker & Hellerstein et al., VLDB'19 I am so pleased to see a database systems paper addressing the concerns of the application developer! To the developer, a strongly consistent system behaves exactly like a single-threaded system running on a single node, so reasoning about the behaviour of the system is ... Continue Reading

Snuba: automating weak supervision to label training data

August 26, 2019May 25, 2020 ~ Adrian Colyer ~ 1 Comment

Snuba: automating weak supervision to label training data Varma & Ré, VLDB 2019 This week we’re moving on from ICML to start looking at some of the papers from VLDB 2019. VLDB is a huge conference, and once again I have a problem because my shortlist of "that looks really interesting, I’d love to read ... Continue Reading

Learning to prove theorems via interacting with proof assistants

August 23, 2019May 25, 2020 ~ Adrian Colyer ~ 13 Comments

Learning to prove theorems via interacting with proof assistants Yang & Deng, ICML'19 Something a little different to end the week: deep learning meets theorem proving! It’s been a while since we gave formal methods some love on The Morning Paper, and this paper piqued my interest. You’ve probably heard of Coq, a proof management ... Continue Reading

Statistical foundations of virtual democracy

August 21, 2019May 25, 2020 ~ Adrian Colyer ~ 14 Comments

Statiscal foundations of virtual democracy Kahng et al., ICML'19 This is another paper on the theme of combining information and making decisions in the face of noise and uncertainty - but the setting is quite different to those we’ve been looking at recently. Consider a food bank that receives donations of food and distributes it ... Continue Reading

Robust learning from untrusted sources

August 19, 2019May 25, 2020 ~ Adrian Colyer ~ 15 Comments

Robust learning from untrusted sources Konstantinov & Lampert, ICML'19 Welcome back to a new term of The Morning Paper! Just before the break we were looking at selected papers from ICML’19, including “Data Shapley.” I’m going to pick things up pretty much where we left off with a few more ICML papers... Data Shapley provides ... Continue Reading

the morning paper

a random walk through Computer Science research, by Adrian Colyer

Month: August 2019