ジャーナル論文 / Journal
  1. Nishijima, M., and Lourenço, B. F., "Non-facial exposedness of copositive cones over symmetric cones", J. Math. Anal. Appl. 545(2), 129166, (2025).
  2. Alcantara, J., and Lee, C., "Global Convergence and Acceleration of Projection Methods for Feasibility Problems Involving Union Convex Sets", J. Optim. Theory Appl., (2025).
  3. Nguyen , C., Alcantara, J., Hao, Z., and Chen, J., "Smoothing penalty approach for solving second-order cone complementarity problems", J. Global Optim., (2024).
  4. Alcantara, J., Nguyen, C., Okuno, T., Takeda, A., and Chen, J., "Unified smoothing approach for best hyperparameter selection problem using a bilevel optimization strategy", Math. Program., (2024).
  5. Tang, J., Zhou, J., Alcantara, J., and Chen, J., "A family of smooth NCP functions and an inexact Levenberg-Marquardt method for nonlinear complementarity problems", Journal of Nonlinear and Convex Analysis, (2023).
  6. Sukeda, I., Miyauchi, A., and Takeda, A., "A study on modularity density maximization: Column generation acceleration and computational complexity analysis", Eur. J. Oper. Res. 309(2), 516–528, (2023).
  7. Poirion, P., Lourenco, B., and Takeda, A., "Random projections of linear and semidefinite problems with linear inequalities", Linear Algebra Appl., (2023).
  8. Marumo, N., Okuno, T., and Takeda, A., "Majorization-minimization-based Levenberg-Marquardt method for constrained nonlinear least squares", Computational Optimization and Applications, (2023).
  9. Liu, T., Pong, T. K., and Takeda, A., "Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints", Computational Optimization and Applications 86(2), 521–553, (2023).
  10. Liberti, L., Manca, B., and Poirion, P., "Random Projections for Linear Programming: An Improved Retrieval Phase", ACM J. Exp. Algorithmics 28, 1–33, (2023).
  11. Bentz, C., Costa, M., Poirion, P., and Ridremont, T., "Robust capacitated Steiner trees and networks with uniform demands", Networks, (2023).
  12. Arahata, S., Okuno, T., and Takeda, A., "Complexity analysis of interior-point methods for second-order stationary points of nonlinear semidefinite optimization problems", Computational Optimization and Applications 86(2), 555–598, (2023).
  13. Obara, M., Okuno, T., and Takeda, A., "SEQUENTIAL QUADRATIC OPTIMIZATION FOR NONLINEAR OPTIMIZATION PROBLEMS ON RIEMANNIAN MANIFOLDS", SIAM J. Optim. 32(2), 822–853, (2022).
  14. Metel, M. R., and Takeda, A., "Perturbed Iterate SGD for Lipschitz Continuous Loss Functions", J. Optim. Theory Appl., (2022).
  15. Liu, T., and Takeda, A., "An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems", Computational Optimization and Applications, (2022).
  16. Fuji, T., Poirion, P., and Takeda, A., "Convexification with Bounded Gap for Randomly Projected Quadratic Optimization", SIAM J. Optim., (2022).
  17. Liberti, L., Poirion, P., and Vu, K., "Random projections for conic programs", Linear Algebra and its Application, (2021).
国際会議 / Proceedings
  1. Huang, W., Han, A., Chen, Y., Cao, Y., Xu, Z., and Suzuki, T., "On the Comparison between Multi-modal and Single-modal Contrastive Learning", The Thirty-Eighth Annual Conference on Neural Information Processing Systems, (2024).
  2. Han, A., Li, J., Huang, W., Hong, M., Takeda, A., Jawanpuria, P., and Mishra, B., "SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining", The Thirty-Eighth Annual Conference on Neural Information Processing Systems, (2024).
  3. Bu, D., Huang, W., Han, A., Nitanda, A., Suzuki, T., Zhang, Q., and Wong, H., "Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning", The Thirty-Eighth Annual Conference on Neural Information Processing Systems, (2024).
  4. Liberti, L., Manca, B., and Poirion, P., "Practical Performance of Random Projections in Linear Programming", International Symposium on Experimental Algorithms, (2022).