Learning Theory from First Principles [pdf]
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Re: Learning Theory from First Principles [pdf]
#2From a quick glance, it looks like it covers much of the same material as this text [1]. I wonder how they compare.
[1]: https://www.cambridge.org/core/books/understanding-machine-l...
Re: Learning Theory from First Principles [pdf]
#3Re: Learning Theory from First Principles [pdf]
#4Re: Learning Theory from First Principles [pdf]
#5Have they figured out what causes double descent yet?
Re: Learning Theory from First Principles [pdf]
#6Re: Learning Theory from First Principles [pdf]
#7Have they figured out what causes double descent yet?
No. We don't know. My favorite hypothesis: SGD is...well, stochastic. Meaning you're not optimizing w.r.t the training corpus, but a tiny subset, so your gradient isn't quite right. Over-training allows you to bulldoze over local optima and recurse toward the true distribution rather than drive around a local over-fitting basin.
Honestly the fact that there doesn't seem to be a good explanation for this makes me think that we just fundamentally don't understand learning.
Re: Learning Theory from First Principles [pdf]
#8I can’t wait until I tell GPT-5 “I have this idea I want to try, read this book and tell me there’s anything relevant there to make it work better”.
Re: Learning Theory from First Principles [pdf]
#9I can’t wait until I tell GPT-5 “I have this idea I want to try, read this book and tell me there’s anything relevant there to make it work better”.
Re: Learning Theory from First Principles [pdf]
#10Have they figured out what causes double descent yet?
Some more detail here: https://calculatedcontent.com/2019/12/03/towards-a-new-theor...