-
Amir Ali Ahmadi, Oktay Günlük, “Robust-to-Dynamics Optimization”, Mathematics of OR, 2024
-
Xiaoou Ding, Yingze Li, Hongzhi Wang, Chen Wang, Yida Liu, Jianmin Wang, 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024, 3668
-
Hugo Gilbert, Mohamed Ouaguenouni, Meltem Öztürk, Olivier Spanjaard, “Robust ordinal regression for subsets comparisons with interactions”, European Journal of Operational Research, 2024
-
Yuzhou Qiu, E. Alper Y{\i}ld{\i}r{\i}m, “On exact and inexact RLT and SDP-RLT relaxations of quadratic programs with box constraints”, J Glob Optim, 2024
-
Lívia Medeiros, Fabiano Oliveira, Abilio Lucena, Jayme Szwarcfiter, “Mixed integer programming and quadratic programming formulations for the interval count problem”, Procedia Computer Science, 223 (2023), 283
-
Adversarial Robustness for Machine Learning, 2023, 251
-
A.A. Mokhnacheva, K.V. Gerasimova, D.N. Ibragimov, “Methods of Numerical Simulation of 0-Controllable Sets of a Linear Discrete Dynamical System with Limited Control Based on Polyhedral Approximation Algorithms”, Modelling and Data Analysis, 13:4 (2023), 84
-
Tadeas Sedlacek, Dirk Odenthal, Dirk Wollherr, “Space splitting convexification: a local solution method for nonconvex optimal control problems”, International Journal of Control, 96:2 (2023), 517
-
Pin-Yu Chen, Cho-Jui Hsieh, Adversarial Robustness for Machine Learning, 2023, 157
-
Sheng Fu, Piao Chen, Zhisheng Ye, “Simplex-Based Proximal Multicategory Support Vector Machine”, IEEE Trans. Inform. Theory, 69:4 (2023), 2427
-
Rui-Jin Zhang, Xin-Wei Liu, Yu-Hong Dai, “IPRQP: a primal-dual interior-point relaxation algorithm for convex quadratic programming”, J Glob Optim, 87:2-4 (2023), 1027
-
John Fearnley, Paul Goldberg, Alexandros Hollender, Rahul Savani, “The Complexity of Gradient Descent: CLS = PPAD ∩ PLS”, J. ACM, 70:1 (2023), 1
-
Weipeng Liu, Yutian Liu, Lei Wu, “Model Predictive Control Based Voltage Regulation Strategy Using Wind Farm as Black-Start Source”, IEEE Trans. Sustain. Energy, 14:2 (2023), 1122
-
Toshihiro Wada, Toshiyuki Ohtsuka, “A RIEMANNIAN-GEOMETRICAL APPROACH TO STRICTLY CONVEX QUADRATIC PROGRAMMING WITH CONVEXITY-PRESERVING METRIC PARAMETERIZATION”, JORSJ, 66:4 (2023), 219
-
Luca Cardelli, Giuseppe Squillace, Mirco Tribastone, Max Tschaikowski, Andrea Vandin, “Formal lumping of polynomial differential equations through approximate equivalences”, Journal of Logical and Algebraic Methods in Programming, 134 (2023), 100876
-
Amine Aziz-Alaoui, Olivier Roustant, Matthias De Lozzo, “A scalable problem to benchmark robust multidisciplinary design optimization techniques”, Optim Eng, 2023
-
Matthias Dahlmanns, Franz Kaiser, Dirk Witthaut, “Branching in flow networks with linear congestion”, Phys. Rev. Research, 4:4 (2022)
-
Christel Baier, Florian Funke, Jakob Piribauer, Robin Ziemek, Lecture Notes in Computer Science, 13242, Foundations of Software Science and Computation Structures, 2022, 40
-
Li Dai, Teng Huang, Runze Gao, Yuan Zhang, Yuanqing Xia, “Cloud-Based Computational Data-Enabled Predictive Control”, IEEE Internet Things J., 9:24 (2022), 24949
-
Chen Ye, Hongzhi Wang, Guojun Dai, SpringerBriefs in Computer Science, Knowledge Discovery from Multi-Sourced Data, 2022, 33