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Comment by nevster | Hacker News Reader

This Harvard course has a pretty good list : https://canvas.harvard.edu/courses/34992/assignments/syllabu...

Links to the papers: https://docs.google.com/spreadsheets/d/1wS6O7-ZoFL7Cfjgt-kdh...

I've been slowly reading through them - some easier than others. (Some I've pretty much skipped - way too long for my interests).

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Tbh I always direct people who want to read old important papers to lecture notes or textbooks, at least in distributed algorithms or CS theory.

I've found that the original papers are always super dense and the material has usually evolved to be more explainable, especially when someone has put in the time to compile it as part of a course.

any recommendations? I read the Cormen introduction to algorithms 3rd ed book, and then a whole bunch of machine learning related books, but I always feel there is a world of algorithms out there that are pretty neat that I haven't uncovered yet.

The 4th edition of Cormen book got published recently! Now in colour! I think it added a bit to better comprehension. It is slightly thinner than 3rd edition as they removed computational geometry algorithms and added some ML stuff.

Advanced Algorithms and Data Structures from Manning publisher: https://www.manning.com/books/advanced-algorithms-and-data-s...

I have not finished it yet, just went through a few chapter, but I can definitely recommend it!

To give you an indication of how technical the papers are, you can read some of my reviews: https://www.goodreads.com/review/list/5348644-neville-ridley...

It's taking a while because I go off on tangents - spent ages looking at the Mother of all Demos and its offshoots. Lately I watched everything I could find by Bret Victor...

Are the video lectures to the course available by any chance?

Not publicly as far as I can tell

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