A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization CW Royer, M O’Neill, SJ Wright Mathematical Programming 180, 451-488, 2020 | 91 | 2020 |
Behavior of accelerated gradient methods near critical points of nonconvex functions M O’Neill, SJ Wright Mathematical Programming, 2019 | 54 | 2019 |
A log-barrier Newton-CG method for bound constrained optimization with complexity guarantees M O’Neill, SJ Wright IMA Journal of Numerical Analysis 41 (1), 84-121, 2021 | 28 | 2021 |
Fedhm: Efficient federated learning for heterogeneous models via low-rank factorization D Yao, W Pan, MJ O'Neill, Y Dai, Y Wan, H Jin, L Sun arXiv preprint arXiv:2111.14655, 2021 | 26 | 2021 |
A stochastic sequential quadratic optimization algorithm for nonlinear equality constrained optimization with rank-deficient Jacobians AS Berahas, FE Curtis, MJ O'Neill, DP Robinson arXiv preprint arXiv:2106.13015, 2021 | 25 | 2021 |
Worst-case complexity of an sqp method for nonlinear equality constrained stochastic optimization FE Curtis, MJ O’Neill, DP Robinson Mathematical Programming, 1-53, 2023 | 20 | 2023 |
A line-search descent algorithm for strict saddle functions with complexity guarantees M O’NEILL, SJ Wright Journal of Machine Learning Research 24 (10), 1-34, 2023 | 5 | 2023 |