when you missed the ICLR deadline but then saw the reviews
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Peyman Milanfar
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Distinguished Scientist at Google. National Academy of Engineering. Computational Imaging ∩ AI. Posts are personal opinions
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Director, Senior Director, even VP titles have lost their currency in the AI world. They’ve become recruiting tools and retention carrots - Silicon Valley’s own version of grade inflation.
maybe sit this one out. you could’ve said this five years ago when it mattered
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHOView quoted post on X
When x and y are independent random variables, their joint cumulative dist function (CDF) is the product of the individual CDFs:
F(x, y) - F(x)*F(y) = 0
Can uncorrelatedness (Cov(x,y) =0) also be expressed in terms of the CDFs? Yes.
This is due to the beautiful and little-known identity by Hoeffding (1940):
Cov(x,y) = ∫∫[F(x, y) - F(x)*F(y)] dxdy
It says that the difference between independence and uncorrelated-ness comes down to point-wise equality vs. a (weaker) integral equality between the CDFs.
F(x, y) - F(x)*F(y) = 0
Can uncorrelatedness (Cov(x,y) =0) also be expressed in terms of the CDFs? Yes.
This is due to the beautiful and little-known identity by Hoeffding (1940):
Cov(x,y) = ∫∫[F(x, y) - F(x)*F(y)] dxdy
It says that the difference between independence and uncorrelated-ness comes down to point-wise equality vs. a (weaker) integral equality between the CDFs.
The race to build the best AI is irrelevant at this point. It's now all about who scales affordable access to the most people.