I've been working my way through Will Larson's list of his favorite technical papers (https://lethain.com/some-of-my-favorite-technical-papers/). I want to read more interesting papers!<p>What's your favorite technical paper and why? How did it change your thinking or approach to problem solving?
Ill mention a few I tend to go back for sheer joy. I'm a data scientist, so the ones I really like tend to be statistics focused since (I don't do DL):<p>- Statistical Models for Earthquake Occurrences and Residual Analysis for Point Processes [1]
Brought to me by [this](<a href="https://simplystatistics.org/posts/2017-09-04-deep-dive-ogata/" rel="nofollow">https://simplystatistics.org/posts/2017-09-04-deep-dive-ogat...</a>) blogpost a while ago, for me it shows what a really good statistical analysis based on a model developed for the task at hand looks like. Great stuff.<p>- Conducting highly principled data science: A statistician’s job and joy [2]
Meng is such a good writter. This one really puts into perspective the job of good principles when tackling any kind of task that a data scientist will face. Principles, theoretical principles, are what avoids messing up a task.<p>1. <a href="https://amstat.tandfonline.com/doi/abs/10.1080/01621459.1988.10478560" rel="nofollow">https://amstat.tandfonline.com/doi/abs/10.1080/01621459.1988...</a>
2. <a href="https://www.sciencedirect.com/science/article/pii/S0167715218300981" rel="nofollow">https://www.sciencedirect.com/science/article/pii/S016771521...</a>
I read The Dynamo paper [1] early in my career and its use of consistent hashing inspired me to use similar approaches in systems I've developed.<p>1. <a href="https://s3.amazonaws.com/systemsandpapers/papers/amazon-dynamo-sosp2007.pdf" rel="nofollow">https://s3.amazonaws.com/systemsandpapers/papers/amazon-dyna...</a>