Ghalamkari, Kazu

4 publications

TMLR 2026 E$^2$M: Double Bounded $\alpha$-Divergence Optimization for Tensor-Based Discrete Density Estimation Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup

NeurIPS 2023 Many-Body Approximation for Non-Negative Tensors Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara

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

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