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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Experimentation Optimization Uncertainty Metrics

Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

AUGUST 1, 2021

Joint training, for example, adds an additional “explanation task” to the original problem and trains the system to solve the two “jointly” (see Bahdanau, 2014). Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Conference on Knowledge Discovery and Data Mining, pp.

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Modeling Deep Learning Machine Learning Knowledge Discovery

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Towards optimal experimentation in online systems

Explaining black-box models using attribute importance, PDPs, and LIME

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