Kazu Ghalamkari

According to our database, Kazu Ghalamkari authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Non-negative Tensor Mixture Learning for Discrete Density Estimation.

Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup

CoRR, 2024

2023

Many-body Approximation for Non-negative Tensors.

Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Many-Body Approximation for Tensors.

Kazu Ghalamkari, Mahito Sugiyama

CoRR, 2022

Fast Rank-1 NMF for Missing Data with KL Divergence.

Kazu Ghalamkari, Mahito Sugiyama

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

A Closed Form Solution to Best Rank-1 Tensor Approximation via KL divergence Minimization.

Kazu Ghalamkari, Mahito Sugiyama

CoRR, 2021

Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation.

Kazu Ghalamkari, Mahito Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Rank Reduction, Matrix Balancing, and Mean-Field Approximation on Statistical Manifold.

Kazu Ghalamkari, Mahito Sugiyama

CoRR, 2020