An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
Getting the most out of A/B and other controlled tests by Ron Kohavi and Stefan Thomke In 2012 a Microsoft employee working on Bing had an idea about changing the way the search engine displayed ad ...
Decision-making inherently involves cause–effect relationships that introduce causal challenges. We argue that reliable algorithms for decision-making need to build upon causal reasoning. Addressing ...
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