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El Houcine Bergou, Youssef Diouane, and Vyacheslav Kungurtsev. Complexity iteration analysis for strongly convex multi-objective optimization using a newton path-following procedure. Optimization Letters, 15:1215–1227, 2021. doi:10.1007/s11590-020-01623-x.

[BS19]

Henri Bonnel and Corinne Schneider. Post-pareto analysis and a new algorithm for the optimal parameter tuning of the elastic net. Journal of Optimization Theory and Applications, 183(3):993–1027, 2019. doi:10.1007/s10957-019-01592-x.

[BSK+07]

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[dWK]

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[Ham20]

Naoki Hamada. 多目的最適化の解集合のトポロジーの検定法 (statistical test for the topology of solution sets in multi-objective optimization). In 日本応用数理学会2020年度年会講演予稿集 (Proceedings of the JSIAM Annual Meeting 2020). 2020.

[HG18]

Naoki Hamada and Keisuke Goto. Data-driven analysis of pareto set topology. In Proceedings of the Genetic and Evolutionary Computation Conference, 657–664. 2018. URL: https://doi.org/10.1145/3205455.3205613.

[HHI+20]

Naoki Hamada, Kenta Hayano, Shunsuke Ichiki, Yutaro Kabata, and Hiroshi Teramoto. Topology of pareto sets of strongly convex problems. SIAM Journal on Optimization, 30(3):2659–2686, 2020. doi:10.1137/19M1264175.

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[KHS+19]

Ken Kobayashi, Naoki Hamada, Akiyoshi Sannai, Aiko Tanaka, Kenichi Bannai, and Masashi Sugiyama. Bézier simplex fitting: describing pareto fronts of simplicial problems with small samples in multi-objective optimization. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 33, 2304–2313. 2019. URL: https://doi.org/10.1609/aaai.v33i01.33012304.

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Suyun Liu and Luís N Vicente. The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning. Annals of Operations Research, 339(3):1119–1148, 2024. doi:10.1007/s10479-021-04033-z.

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[MHI21]

Yuto Mizota, Naoki Hamada, and Shunsuke Ichiki. All unconstrained strongly convex problems are weakly simplicial. 2021. URL: https://arxiv.org/abs/2106.12704, arXiv:2106.12704.

[Qi]

Houduo Qi. Optimal portfolio selections via l1,2-norm regularization. URL: https://eprints.soton.ac.uk/451606/1/mvpl12_for_PURE.pdf.

[TSR+05]

Robert Tibshirani, Michael Saunders, Saharon Rosset, Ji Zhu, and Keith Knight. Sparsity and smoothness via the fused lasso. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 67(1):91–108, 2005.

[YYLM21]

Dongxiang Yan, He Yin, Tao Li, and Chengbin Ma. A two-stage scheme for both power allocation and ev charging coordination in a grid tied pv-battery charging station. IEEE Transactions on Industrial Informatics, 2021. doi:10.1109/TII.2021.3054417.

[YL06]

Ming Yuan and Yi Lin. Model selection and estimation in regression with grouped variables. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 68(1):49–67, 2006.