Abstract: In Bayesian optimization, a black-box function is maximized via the use of a surrogate model. We apply distributed Thompson sampling, using a Gaussian process as a surrogate model, to ...
Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...
What’s often misunderstood about Google’s incrementality testing and how Bayesian models use probability to guide better ...
Google’s AI bidding can scale spend while eroding efficiency. Learn where to intervene to protect PPC performance.
Abstract: In constrained signal processing, which encompasses areas such as compressed sensing, noisy signal recovery, and matrix completion, the communication overhead of gradients, both inter- and ...
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