2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ML2023
Tight and fast generalization error bound of graph embedding in metric space
Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki +3
Recent studies have experimentally shown that we can achieve in non-Euclidean metric space effective and efficient graph embedding, which aims to obtain the vertices' representatio…
cs.LG2023
Detecting Signs of Model Change with Continuous Model Selection Based on Descriptive Dimensionality
Kenji Yamanishi, So Hirai
We address the issue of detecting changes of models that lie behind a data stream. The model refers to an integer-valued structural information such as the number of free parameter…
cs.LG2012★ 2 cited
Normalized Maximum Likelihood Coding for Exponential Family with Its Applications to Optimal Clustering
So Hirai, Kenji Yamanishi
We are concerned with the issue of how to calculate the normalized maximum likelihood (NML) code-length. There is a problem that the normalization term of the NML code-length may d…