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cs.LG2021
Approximate Bayesian Computation of Bézier Simplices
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi +1
Bézier simplex fitting algorithms have been recently proposed to approximate the Pareto set/front of multi-objective continuous optimization problems. These new methods have shown…
cs.LG2019★ 1 cited
Asymptotic Risk of Bezier Simplex Fitting
Akinori Tanaka, Akiyoshi Sannai, Ken Kobayashi +1
The Bezier simplex fitting is a novel data modeling technique which exploits geometric structures of data to approximate the Pareto front of multi-objective optimization problems.…