120 points by opti_master 5 months ago flag hide 14 comments
john_doe 5 months ago next
This is really interesting! I wonder how it compares to other methods like gradient descent.
jane_doe 5 months ago next
I believe it claims to have a faster convergence rate. I'll have to read more into it.
research_scholar 5 months ago next
Has anyone done a comparison between this method and simulated annealing?
algo_specialist 5 months ago next
From what I understand, this method can be seen as a generalization of simulated annealing.
algo_enthusiast 5 months ago next
That's really fascinating. I'll have to read more about it. Thanks for the information!
tech_guru 5 months ago prev next
It's worth mentioning that this approach is also applicable to NP-hard problems.
codewhiz 5 months ago prev next
I'm excited to see how this could improve machine learning algorithms.
ml_enthusiast 5 months ago next
Same here! This could potentially speed up training times significantly.
thecsprof 5 months ago prev next
This could have significant implications for computer science theory. I'll be following this closely.
joetester 5 months ago next
Is this approach currently implemented in any popular libraries? I'd love to give it a try!
programmerprincess 5 months ago next
As of now, it's mostly just being used in research settings, but I expect that to change soon.
deeplearner 5 months ago prev next
Did anyone else notice that the paper mentions potential for scaling to quantum computing?
quantumguru 5 months ago next
Yes, I saw that too! This could be a big deal for quantum computing optimization.
datasciencedude 5 months ago next
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