A theoretical analysis of deep Q-learning J Fan, Z Wang, Y Xie, Z Yang Learning for Dynamics and Control, 486-489, 2020 | 701 | 2020 |
A noise-tolerant quasi-Newton algorithm for unconstrained optimization HJM Shi, Y Xie, R Byrd, J Nocedal SIAM Journal on Optimization 32 (1), 29-55, 2022 | 30 | 2022 |
Analysis of the BFGS Method with Errors Y Xie, RH Byrd, J Nocedal SIAM Journal on Optimization 30 (1), 182-209, 2020 | 29 | 2020 |
Adaptive finite-difference interval estimation for noisy derivative-free optimization HJM Shi, Y Xie, MQ Xuan, J Nocedal SIAM Journal on Scientific Computing 44 (4), A2302-A2321, 2022 | 19 | 2022 |
Constrained and composite optimization via adaptive sampling methods Y Xie, R Bollapragada, R Byrd, J Nocedal IMA Journal of Numerical Analysis 44 (2), 680-709, 2024 | 9 | 2024 |
Contrastive learning from pairwise measurements Y Chen, Z Yang, Y Xie, Z Wang Advances in Neural Information Processing Systems 31, 2018 | 5 | 2018 |
On the convergence of BFGS on a class of piecewise linear non-smooth functions Y Xie, A Waechter arXiv preprint arXiv:1712.08571, 2017 | 5 | 2017 |
Methods for Nonlinear and Noisy Optimization Y Xie Northwestern University, 2021 | 4 | 2021 |
Stochastic Ratios Tracking Algorithm for Large Scale Machine Learning Problems S Sun, Y Xie arXiv preprint arXiv:2305.09978, 2023 | 1 | 2023 |