1 citations · 1 across the 4 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
stat.ML2026
Singularities of Non-negative Matrix Factorization and their application to Bayesian inference
Naoki Hayashi, Yota Maeda, Yasushi Esaki
Non-negative matrix factorization (NMF) is a singular statistical model whose Bayesian asymptotics are governed by the real log canonical threshold (RLCT). We study the local geome…
quant-ph2026
Quantum Algorithms and Hardness for Point-Count Approximation over Finite Fields
Yota Maeda, Hiroshi Yano
We study the approximation of the number of solutions of Laurent polynomials over finite fields. For a Laurent polynomial \[f(x)=\sum_{j=1}^{s}a_jx^{u_j}\in \mathbb{F}_q[x_1^{\pm1}…