A theoretical and empirical comparison of gradient approximations in derivative-free optimization AS Berahas, L Cao, K Choromanski, K Scheinberg Foundations of Computational Mathematics 22 (2), 507-560, 2022 | 148 | 2022 |
Global convergence rate analysis of a generic line search algorithm with noise AS Berahas, L Cao, K Scheinberg SIAM Journal on Optimization 31 (2), 1489-1518, 2021 | 71 | 2021 |
First-and second-order high probability complexity bounds for trust-region methods with noisy oracles L Cao, AS Berahas, K Scheinberg Mathematical Programming, 1-52, 2023 | 21 | 2023 |
Linear interpolation gives better gradients than Gaussian smoothing in derivative-free optimization AS Berahas, L Cao, K Choromanski, K Scheinberg arXiv preprint arXiv:1905.13043, 2019 | 18 | 2019 |
Global convergence rate analysis of a generic line search algorithm with noise (2019) AS Berahas, L Cao, K Scheinberg arXiv preprint arxiv:1910.04055, 2019 | 3 | 2019 |
A new algorithm for quadratic integer programming problems with cardinality constraint F Wang, L Cao Japan Journal of Industrial and Applied Mathematics 37 (2), 449-460, 2020 | 2 | 2020 |
Sharper Convergence Guarantees for Federated Learning with Partial Model Personalization Y Chen, L Cao, K Yuan, Z Wen arXiv preprint arXiv:2309.17409, 2023 | | 2023 |
The Error in Multivariate Linear Extrapolation with Applications to Derivative-Free Optimization L Cao, Z Wen, Y Yuan arXiv preprint arXiv:2307.00358, 2023 | | 2023 |
Some Sharp Error Bounds for Multivariate Linear Interpolation and Extrapolation L Cao, Z Wen, Y Yuan arXiv preprint arXiv:2209.12606, 2022 | | 2022 |
Model-Based Derivative-Free Optimization Methods and Analysis of Stochastic Nonlinear Optimization L Cao Lehigh University, 2021 | | 2021 |