14 citations · 46 across the 25 of their papers we have counts for
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stat.ML2020
Additive Poisson Process: Learning Intensity of Higher-Order Interaction in Stochastic Processes
Simon Luo, Feng Zhou, Lamiae Azizi +1
We present the Additive Poisson Process (APP), a novel framework that can model the higher-order interaction effects of the intensity functions in stochastic processes using lower…
stat.ML2020★ 1 cited
Fast Rank Reduction for Non-negative Matrices via Mean Field Theory
Kazu Ghalamkari, Mahito Sugiyama
We propose an efficient matrix rank reduction method for non-negative matrices, whose time complexity is quadratic in the number of rows or columns of a matrix. Our key insight is…
stat.ML2020★ 1 cited
Double Descent Risk and Volume Saturation Effects: A Geometric Perspective
Prasad Cheema, Mahito Sugiyama
The appearance of the double-descent risk phenomenon has received growing interest in the machine learning and statistics community, as it challenges well-understood notions behind…