| Fast quantum state reconstruction via accelerated non-convex programming JL Kim, G Kollias, A Kalev, KX Wei, A Kyrillidis Photonics 10 (2), 116, 2023 | 13 | 2023 |
| 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 | 11 | 2022 |
| Adaptive Federated Learning with Auto-Tuned Clients JL Kim, MT Toghani, CA Uribe, A Kyrillidis The Twelfth International Conference on Learning Representations, 2024 | 7 | 2024 |
| 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 | 2 | 2024 |
| 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 | 2 | 2022 |
| Extragradient with Positive Momentum is Optimal for Games with Cross-Shaped Jacobian Spectrum. JL Kim, G Gidel, A Kyrillidis, F Pedregosa arXiv preprint arXiv:2211.04659, 2022 | 2 | 2022 |
| 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 | 1 | 2022 |
| Solving Hidden Monotone Variational Inequalities with Surrogate Losses R D'Orazio, D Vucetic, Z Liu, JL Kim, I Mitliagkas, G Gidel arXiv preprint arXiv:2411.05228, 2024 | | 2024 |
| 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 |
Anastasios KyrillidisAssociate Professor, Computer Science Department, Ken Kennedy Institute Fellow, Rice UniversityBestätigte E-Mail-Adresse bei rice.edu
