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
112023
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
102022
Adaptive Federated Learning with Auto-Tuned Clients
JL Kim, MT Toghani, CA Uribe, A Kyrillidis
The Twelfth International Conference on Learning Representations, 2024
52024
How Much Pre-training Is Enough to Discover a Good Subnetwork?
CR Wolfe, F Liao, Q Wang, JL Kim, A Kyrillidis
Transactions on Machine Learning Research, 2024
22024
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
When is Momentum Extragradient Optimal? A Polynomial-Based Analysis
JL Kim, G Gidel, A Kyrillidis, F Pedregosa
Transactions on Machine Learning Research, 2024
1*2024
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
A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
JL Kim, NH Chia, A Kyrillidis
arXiv preprint arXiv:2406.13879, 2024
2024
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis
F Liao, JL Kim, C Barnum, A Kyrillidis
Forty-first International Conference on Machine Learning, 2024
2024
Smoothness-Adaptive Sharpness-Aware Minimization for Finding Flatter Minima
H Naganuma, JL Kim, A Kyrillidis, I Mitliagkas
5th Workshop on practical ML for limited/low resource settings (ICLR 2024 …, 2024
2024
Package ‘sgd’
JL Kim, D Tran, P Toulis, T Lian, Y Kuang, E Airoldi
2024
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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