Learning Positive Functions with Pseudo Mirror Descent

NeurIPS 2019 Yingxiang YangHaoxiang WangNegar KiyavashNiao He

The nonparametric learning of positive-valued functions appears widely in machine learning, especially in the context of estimating intensity functions of point processes. Yet, existing approaches either require computing expensive projections or semidefinite relaxations, or lack convexity and theoretical guarantees after introducing nonlinear link functions... (read more)

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