Youngdae Kim
Youngdae Kim
ExxonMobil Technology and Engineering Company
Verified email at - Homepage
Cited by
Cited by
RV-SVM: An efficient method for learning ranking SVM
H Yu, Y Kim, S Hwang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 426-438, 2009
An efficient method for learning nonlinear ranking SVM functions
H Yu, J Kim, Y Kim, S Hwang, YH Lee
Information Sciences 209, 37-48, 2012
MPEC methods for bilevel optimization problems
Y Kim, S Leyffer, T Munson
Bilevel optimization: advances and next challenges, 2020
Solving equilibrium problems using extended mathematical programming
Y Kim, MC Ferris
Mathematical programming computation 11, 457-501, 2019
APPFL: open-source software framework for privacy-preserving federated learning
M Ryu, Y Kim, K Kim, RK Madduri
2022 IEEE International Parallel and Distributed Processing Symposium …, 2022
Leveraging GPU batching for scalable nonlinear programming through massive Lagrangian decomposition
Y Kim, F Pacaud, K Kim, M Anitescu
arXiv preprint arXiv:2106.14995, 2021
A reinforcement learning approach to parameter selection for distributed optimal power flow
S Zeng, A Kody, Y Kim, K Kim, DK Molzahn
Electric Power Systems Research 212, 108546, 2022
Adaptively refined dynamic program for linear spline regression
N Goldberg, Y Kim, S Leyffer, TD Veselka
Computational Optimization and Applications 58, 523-541, 2014
Exact indexing for support vector machines
H Yu, I Ko, Y Kim, S Hwang, WS Han
Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011
Accelerated computation and tracking of AC optimal power flow solutions using GPUs
Y Kim, K Kim
Workshop Proceedings of the 51st International Conference on Parallel …, 2022
Diversity and scale: genetic architecture of 2,068 traits in the VA Million Veteran Program
A Verma, JE Huffman, A Rodriguez, M Conery, M Liu, YL Ho, Y Kim, ...
medRxiv, 2023
A real-time optimization with warm-start of multiperiod AC optimal power flows
Y Kim, M Anitescu
Electric Power Systems Research 189, 2020
MINLP formulations for continuous piecewise linear function fitting
N Goldberg, S Rebennack, Y Kim, V Krasko, S Leyffer
Computational Optimization and Applications, 2021
A structure-preserving pivotal method for affine variational inequalities
Y Kim, O Huber, MC Ferris
Mathematical Programming 168, 93-121, 2018
A reinforcement learning approach to parameter selection for distributed optimization in power systems
S Zeng, A Kody, Y Kim, K Kim, DK Molzahn
arXiv preprint arXiv:2110.11991, 2021
GPU-accelerated DNS of compressible turbulent flows
Y Kim, D Ghosh, EM Constantinescu, R Balakrishnan
Computers and Fluids 251, 2023
iKernel: Exact indexing for support vector machines
Y Kim, I Ko, WS Han, H Yu
Information Sciences 257, 32-53, 2014
Escaping a dominance region at minimum cost
Y Kim, G You, S Hwang
International Conference on Database and Expert Systems Applications, 800-807, 2008
Solving Stochastic Dynamic Programming Problems: A Mixed Complementarity Approach
W Chang, MC Ferris, Y Kim, TF Rutherford
Computational Economics, 1-31, 2019
A Globally Convergent Distributed Jacobi Scheme for Block-Structured Nonconvex Constrained Optimization Problems
A Subramanyam, Y Kim, M Schanen, F Pacaud, M Anitescu
arXiv preprint arXiv:2112.09027, 2021
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