Jun-ya Gotoh

activity

20172026

most citedEfficient DC Algorithm for Constrained Sparse Optimization

22 citations · 24 across the 10 of their papers we have counts for

collaborators

Showing 2017Show all

2 papers · 1 filter

stat.ML2017

Calibration of Distributionally Robust Empirical Optimization Models

Jun-Ya Gotoh, Michael Jong Kim, Andrew E. B. Lim

We study the out-of-sample properties of robust empirical optimization problems with smooth $ϕ$ -divergence penalties and smooth concave objective functions, and develop a theory fo…

math.OC2017★ 22 cited

Efficient DC Algorithm for Constrained Sparse Optimization

Katsuya Tono, Akiko Takeda, Jun-ya Gotoh

We address the minimization of a smooth objective function under an $ℓ_{0}$ -constraint and simple convex constraints. When the problem has no constraints except the $ℓ_{0}$ -const…