me trying to cut my ICML rebuttal down to <5000 characters
31.03.2025 12:17
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me trying to cut my ICML rebuttal down to <5000 characters
couldn’t agree more!
😂😂😂😂😂😂
If people knew how much of my PhD has consisted of reading about something new, referencing back to Elements of Statistical Learning, and simply writing down what I learned…
It feels like a cheat code!
Part 2: Why do boosted trees outperform deep learning on tabular data??
@alanjeffares.bsky.social & I suspected that answers to this are obfuscated by the 2 being considered very different algs🤔
Instead we show they are more similar than you’d think — making their diffs smaller but predictive!🧵1/n
language is always evolving but if we ever reach a definition of “cool” that includes regression smoothers we will know our species has lost its way
i’m too lazy to make a thinly-veiled self-promotion “starter pack”, so if you could all add me anyway that would be great…
i’m starting a meta grumpy list for people that are grumpy about this list
From double descent to grokking, deep learning sometimes works in unpredictable ways.. or does it?
For NeurIPS(my final PhD paper!), @alanjeffares.bsky.social & I explored if&how smart linearisation can help us better understand&predict numerous odd deep learning phenomena — and learned a lot..🧵1/n
and all of a sudden, my feed changed from musk and outrage to matrices and optimisers…