Revisiting Wedge Sampling for Budgeted Maximum Inner Product Search

23 Aug 2019Stephan S. LorenzenNinh Pham

Top-k maximum inner product search (MIPS) is a central task in many machine learning applications. This paper extends top-k MIPS with a budgeted setting, that asks for the best approximate top-k MIPS given a limit of B computational operations... (read more)

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