Jan Pfeifer

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Real-world machine learning applications may require functions to be fast-to-evaluate and interpretable, in particular, guaranteed monotonicity of the learned function can be critical to user trust. We propose meeting these goals for low-dimensional machine learning problems by learning flexible, monotonic functions using calibrated interpolated look-up(More)
Automatic expansion of user queries during web search is a technique provided by most web search engines. Term expansion helps users to phrase more specific queries, correct misspellings, and acts as an accelerator for frequently used queries. Typically search engines provide five to ten refinements. Many of the refinement sets have a high degree of(More)
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