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 francisbach.com
Non-convex quadratic optimization problems - Machine Learning Research Blog
| | fa.bianp.net
On the Link Between Polynomials and Optimization, Part 1
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| | There's a fascinating link between minimization of quadratic functions and polynomials. A link that goes deep and allows to phrase optimization problems in the language of polynomials and vice versa. Using this connection, we can tap into centuries of research in the theory of polynomials and shed new light on ...
| | jeremykun.com
The Reasonable Effectiveness of the Multiplicative Weights Update Algorithm Math Programming
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| | Hard to believe Sanjeev Arora and his coauthors consider it"a basic tool [that should be] taught to all algorithms students together with divide-and-conquer, dynamic programming, and random sampling."Christos Papadimitriou calls it"so hard to believe that it has been discovered five times and forgotten." It has formed the basis of algorithms inmachine learning, optimization, game theory,
| | aria42.com
Numerical Optimization: Understanding L-BFGS - aria42
2.5 parsecs away

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| | Numerical optimization is at the core of much of machine learning. In this post, we derive the L-BFGS algorithm, commonly used in batch machine learning applications.
| | achyutjoshi.github.io
Machine Learning Takeaways - Following the Feynman Learning Technique
19.6 parsecs away

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| Many would reckon that Machine Learning is now the new oil these days. And I would most likely support that. Personally I got exposed to the world of ML in m...