Pedro Domingos
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Second-Order Path Kernel Interpolation Formulas in Machine Learning
Announce Type: new Abstract: Understanding how training data shape neural network predictions is a central problem in modern learning theory. In 2020, Pedro Domingos proposed an interpolation formula valid for every model learned by deterministic gradient descent. It expresses the model's prediction as an integral, along the optimization path, of a data-dependent kernel that aligns the model's gradients at the test and training data.
Why Anthropic has the edge over OpenAI in IPO race
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'No Lisbon without saints': Popular Saints festivals in the capital
The Popular Saints festivities are back in Lisbon, with Saint Anthony celebrated this Saturday as the city turns into a huge street party with music everywhere. June has arrived and with it the long-awaited Santos Populares festivals are back. This is one of the most emblematic traditions of Portuguese culture, bringing together thousands of people at street parties filled with popular music, colour and food.