How much pre-training is enough to discover a good subnetwork? CR Wolfe, Q Wang, JL Kim, A Kyrillidis Proceedings of Machine Learning Research vol 144, 1-33, 2022 | 1* | 2022 |
Fast quantum state reconstruction via accelerated non-convex programming JL Kim, G Kollias, A Kalev, KX Wei, A Kyrillidis arXiv preprint arXiv:2104.07006, 2021 | 1 | 2021 |
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 | | 2022 |
Local Stochastic Factored Gradient Descent for Distributed Quantum State Tomography JL Kim, MT Toghani, CA Uribe, A Kyrillidis arXiv preprint arXiv:2203.11579, 2022 | | 2022 |
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, JAL Benitez, MT Toghani, C Wolfe, Z Zhang, A Kyrillidis arXiv preprint arXiv:2106.08775, 2021 | | 2021 |
Package ‘sgd’ JL Kim, D Tran, P Toulis, T Lian, Y Kuang, E Airoldi | | 2019 |