Michael O'Neill

Orcid: 0000-0002-7369-4571

Affiliations:
  • University of North Carolina at Chapel Hill, Department of Statistics and Operations Research, Chapel Hill, NC, USA
  • Lehigh University, Department of Industrial and Systems Engineering, Bethlehem, PA, USA (former)
  • University of Wisconsin-Madison, Computer Sciences Department, Madison, WI, USA (PhD 2020)


According to our database1, Michael O'Neill authored at least 7 papers between 2019 and 2025.

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Bibliography

2025
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization.
Artif. Intell., 2025

Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024
Worst-case complexity of an SQP method for nonlinear equality constrained stochastic optimization.
Math. Program., May, 2024

A Stochastic Sequential Quadratic Optimization Algorithm for Nonlinear-Equality-Constrained Optimization with Rank-Deficient Jacobians.
Math. Oper. Res., 2024

2023
A Line-Search Descent Algorithm for Strict Saddle Functions with Complexity Guarantees.
J. Mach. Learn. Res., 2023

2020
A Newton-CG algorithm with complexity guarantees for smooth unconstrained optimization.
Math. Program., 2020

2019
Behavior of accelerated gradient methods near critical points of nonconvex functions.
Math. Program., 2019


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