Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold. - Kazu Ghalamkari; Mahito Sugiyama (CoRR, 2020)

Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation. - Kazu Ghalamkari; Mahito Sugiyama (NeurIPS, 2021)

A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization. - Kazu Ghalamkari; Mahito Sugiyama (CoRR, 2021)

Fast Rank-1 NMF for Missing Data with KL Divergence. - Kazu Ghalamkari; Mahito Sugiyama (AISTATS, 2022)

Many-Body Approximation for Tensors. - Kazu Ghalamkari; Mahito Sugiyama (CoRR, 2022)

Many-body Approximation for Non-negative Tensors. - Kazu Ghalamkari; Mahito Sugiyama; Yoshinobu Kawahara (NeurIPS, 2023)

Non-negative Tensor Mixture Learning for Discrete Density Estimation. - Kazu Ghalamkari; Jesper Løve Hinrich; Morten Mørup (CoRR, 2024)