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lucatrevisan.wordpress.com
| | live-simons-blog.pantheonsite.io
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| | gilkalai.wordpress.com
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| | Gowers, Green, Manners and Tao. They reminded me of the A-team of the 1980s television series: "If you have a problem, if no one else can help, and if you can find them, maybe you can hire... the A-Team." A conjecture of Marton, widely known as "the polynomial Freiman-Ruzsa conjecture" was certainly a holy grail
| | terrytao.wordpress.com
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| | [This post is dedicated to Luca Trevisan, who recently passed away due to cancer. Though far from his most significant contribution to the field, I would like to mention that, as with most of my ot...
| | blog.fastforwardlabs.com
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| By Chris and Melanie. The machine learning life cycle is more than data + model = API. We know there is a wealth of subtlety and finesse involved in data cleaning and feature engineering. In the same vein, there is more to model-building than feeding data in and reading off a prediction. ML model building requires thoughtfulness both in terms of which metric to optimize for a given problem, and how best to optimize your model for that metric!