Следене
Junhyung Lyle Kim
Junhyung Lyle Kim
Ph.D. Student, Computer Science Department, Rice University
Потвърден имейл адрес: rice.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
Fast quantum state reconstruction via accelerated non-convex programming
JL Kim, G Kollias, A Kalev, KX Wei, A Kyrillidis
Photonics 10 (2), 116, 2023
92023
Convergence and stability of the stochastic proximal point algorithm with momentum
JL Kim, P Toulis, A Kyrillidis
Learning for Dynamics and Control Conference, 1034-1047, 2022
82022
Adaptive federated learning with auto-tuned clients
JL Kim, MT Toghani, CA Uribe, A Kyrillidis
arXiv preprint arXiv:2306.11201, 2023
42023
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography
JL Kim, MT Toghani, CA Uribe, A Kyrillidis
IEEE Control Systems Letters 7, 199-204, 2022
22022
How much pre-training is enough to discover a good subnetwork?
CR Wolfe, Q Wang, JL Kim, A Kyrillidis
22021
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis
JL Kim, G Gidel, A Kyrillidis, F Pedregosa
arXiv preprint arXiv:2211.04659, 2022
1*2022
Momentum Extragradient is Optimal for Games with Cross-Shaped Spectrum
JL Kim, G Gidel, A Kyrillidis, F Pedregosa
OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022
12022
Package ‘sgd’
JL Kim, D Tran, P Toulis, T Lian, Y Kuang, E Airoldi
2024
On the Error-Propagation of Inexact Deflation for Principal Component Analysis
F Liao, JL Kim, C Barnum, A Kyrillidis
arXiv preprint arXiv:2310.04283, 2023
2023
Adaptive Federated Learning with Auto-Tuned Clients via Local Smoothness
JL Kim, T Toghani, CA Uribe, A Kyrillidis
Federated Learning and Analytics in Practice: Algorithms, Systems …, 2023
2023
Acceleration and Stability of the Stochastic Proximal Point Algorithm
JL Kim, P Toulis, A Kyrillidis
NeurIPS 2021 Workshop on Optimization for Machine Learning, 2021
2021
Momentum-inspired Low-Rank Coordinate Descent for Diagonally Constrained SDPs
JL Kim, JA Benitez, MT Toghani, C Wolfe, Z Zhang, A Kyrillidis
arXiv preprint arXiv:2106.08775, 2021
2021
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