| A proximal bundle method for nonsmooth DC optimization utilizing nonconvex cutting planes K Joki, AM Bagirov, N Karmitsa, MM Mäkelä Journal of Global Optimization 68 (3), 501-535, 2017 | 59 | 2017 |
| Double bundle method for finding Clarke stationary points in nonsmooth DC programming K Joki, AM Bagirov, N Karmitsa, MM Makela, S Taheri SIAM Journal on Optimization 28 (2), 1892-1919, 2018 | 52 | 2018 |
| Clusterwise support vector linear regression K Joki, AM Bagirov, N Karmitsa, MM Mäkelä, S Taheri European Journal of Operational Research 287 (1), 19-35, 2020 | 26 | 2020 |
| Bundle-based descent method for nonsmooth multiobjective DC optimization with inequality constraints O Montonen, K Joki Journal of Global Optimization 72 (3), 403-429, 2018 | 14 | 2018 |
| Aggregate subgradient method for nonsmooth DC optimization AM Bagirov, S Taheri, K Joki, N Karmitsa, MM Mäkelä Optimization Letters 15, 83-96, 2021 | 11 | 2021 |
| Bundle methods for nonsmooth DC optimization K Joki, AM Bagirov Numerical Nonsmooth Optimization: State of the Art Algorithms, 263-296, 2020 | 7 | 2020 |
| Diagonal bundle method with convex and concave updates for large-scale nonconvex and nonsmooth optimization N Karmitsa, M Gaudioso, K Joki Optimization Methods and Software 34 (2), 363-382, 2019 | 6 | 2019 |
| Double bundle method for nonsmooth DC optimization K Joki, AM Bagirov, N Karmitsa, MM Mäkelä, S Taheri TUCS Technical Report, 2017 | 5 | 2017 |
| OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer AS Halkola, K Joki, T Mirtti, MM Mäkelä, T Aittokallio, TD Laajala PLOS Computational Biology 19 (3), e1010333, 2023 | 3 | 2023 |
| Limited memory bundle method for clusterwise linear regression N Karmitsa, AM Bagirov, S Taheri, K Joki Computational Sciences and Artificial Intelligence in Industry: New Digital …, 2022 | 3 | 2022 |
| Hyperparameter-free NN algorithm for large-scale regression problems N Karmitsa, S Taheri, K Joki, P Mäkinen, A Bagirov, MM Mäkelä TUCS Technical Report, 2020 | 2 | 2020 |
| Multiobjective double bundle method for DC optimization O Montonen, K Joki Numerical Nonsmooth Optimization: State of the Art Algorithms, 481-497, 2020 | 2 | 2020 |
| Nonsmooth Optimization-Based Hyperparameter-Free Neural Networks for Large-Scale Regression N Karmitsa, S Taheri, K Joki, P Paasivirta, AM Bagirov, MM Mäkelä Algorithms 16 (9), 444, 2023 | 1 | 2023 |
| New bundle method for clusterwise linear re-gression utilizing support vector machines K Joki, AM Bagirov, N Karmitsa, MM Mäkelä, S Taheri TUCS technical report no 1190, 2017 | 1 | 2017 |
| Multiobjective double bundle method for nonsmooth constrained multiobjective DC optimization O Montonen, K Joki TUCS Technical Report, 2017 | 1 | 2017 |
| New Proximal Bundle Method for Non-smooth DC Optimization K Joki, AM Bagirov, N Karmitsa, MM Mäkelä TUCS Technical Reports 1130, TUCS, 2015 | 1 | 2015 |
| Nonsmooth Optimization: Bundle Methods K Joki | 1 | 2013 |
| A new subgradient based method for nonsmooth DC programming AM Bagirov, S Taheri, K Joki, N Karmitsa, MM Mäkelä TUCS. Tech. rep, 0 | 1 | |
| A Proximal Bundle Method for Nonsmooth DC Optimization K Joki, A Bagirov, N Karmitsa, MM Mäkelä | | 2014 |
| Splitting Metrics Diagonal Bundle Method for Large-Scale Nonconvex Nonsmooth Optimization N Karmitsa, M Gaudioso, K Joki | | |
Napsu KarmitsaDocent of Applied Mathematics, University of Turku在 utu.fi 的电子邮件经过验证
