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Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

Jun 17, 2020
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel


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Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix

May 28, 2019
Insu Han, Haim Avron, Jinwoo Shin


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Stochastic Chebyshev Gradient Descent for Spectral Optimization

Oct 30, 2018
Insu Han, Haim Avron, Jinwoo Shin


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Faster Greedy MAP Inference for Determinantal Point Processes

Jun 14, 2017
Insu Han, Prabhanjan Kambadur, Kyoungsoo Park, Jinwoo Shin


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Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions

Mar 22, 2015
Insu Han, Dmitry Malioutov, Jinwoo Shin


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