134 citations · 285 across the 22 of their papers we have counts for
5 papers · 1 filter
Stage-dependent integer-binary encoding in factorization-machine black-box optimization
Ryo Ogawa, Mayumi Nakano, Yuya Seki +1
Black-box optimization (BBO) deals with problems where objective functions lack explicit analytical forms and are expensive to evaluate. Factorization machine with quadratic-optimi…
Improving FMQA via Initial Training Data Design Considering Marginal Bit Coverage in One-Hot Encoding
Taiga Hayashi, Yuya Seki, Kotaro Terada +3
Factorization machine with quadratic-optimization annealing (FMQA) is a black-box optimization method that combines a factorization machine (FM) surrogate with QUBO-based search by…
SWIFT-FMQA: Enhancing Factorization Machine with Quadratic-Optimization Annealing via Sliding Window
Mayumi Nakano, Yuya Seki, Shuta Kikuchi +1
Black-box (BB) optimization problems aim to identify an input that maximizes or minimizes the output of a function (the BB function) whose input-output relationship is unknown. Fac…
Initialization Method for Factorization Machine Based on Low-Rank Approximation for Constructing a Corrected Approximate Ising Model
Yuya Seki, Hyakka Nakada, Shu Tanaka
This paper presents an initialization method that can approximate a given approximate Ising model with a high degree of accuracy using a factorization machine (FM), a machine learn…
Black-box optimization for integer-variable problems using Ising machines and factorization machines
Yuya Seki, Ryo Tamura, Shu Tanaka
Black-box optimization has potential in numerous applications such as hyperparameter optimization in machine learning and optimization in design of experiments. Ising machines are…