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  • title: Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
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            Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
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            Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees

            Jul 12, 2020

            Speakers

            SN

            Sen Na

            Speaker · 0 followers

            YL

            Yuwei Luo

            Speaker · 0 followers

            ZY

            Zhuoran Yang

            Speaker · 2 followers

            About

            Graph representation learning is a ubiquitous task in machine learning where the goal is to embed each vertex into a low-dimensional vector space. We consider the bipartite graph and formalize its representation learning problem as a statistical estimation problem of parameters in a semiparametric exponential family distribution. The bipartite graph is assumed to be generated by a semiparametric exponential family distribution, whose parametric component is given by the proximity of outputs of t…

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            I2

            ICML 2020

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            AI & Data Science

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            Mathematics

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            About ICML 2020

            The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.

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