A level-set method for convex optimization with a feasible solution path Q Lin, S Nadarajah, N Soheili SIAM Journal on Optimization 28 (4), 3290-3311, 2018 | 34 | 2018 |
A deterministic rescaled perceptron algorithm NS J Pena Math. Programming, 2015 | 32 | 2015 |
A smooth perceptron algorithm JP Negar Soheili SIAM Journal on Optimization 22, 728--737, 2012 | 31 | 2012 |
On the von Neumann and Frank--Wolfe algorithms with away steps J Pena, D Rodríguez, N Soheili SIAM Journal on Optimization 26 (1), 499-512, 2016 | 25 | 2016 |
Solving conic systems via projection and rescaling J Pena, N Soheili Mathematical Programming 166, 87-111, 2017 | 24 | 2017 |
Revisiting approximate linear programming: Constraint-violation learning with applications to inventory control and energy storage Q Lin, S Nadarajah, N Soheili Management science 66 (4), 1544-1562, 2020 | 23 | 2020 |
A primal-dual smooth perceptron-von Neumann algorithm JP Negar Soheili Discrete Geometry and Optimization. Springer, Fields Institute …, 2013 | 15* | 2013 |
A data efficient and feasible level set method for stochastic convex optimization with expectation constraints Q Lin, S Nadarajah, N Soheili, T Yang Journal of machine learning research 21 (143), 1-45, 2020 | 12 | 2020 |
Computational performance of a projection and rescaling algorithm J Pena, N Soheili Optimization Methods and Software 36 (5), 934-951, 2021 | 7 | 2021 |
Self-guided approximate linear programs P Pakiman, S Nadarajah, N Soheili, Q Lin arXiv preprint arXiv:2001.02798, 2020 | 6 | 2020 |
Some preconditioners for systems of linear inequalities J Pena, V Roshchina, N Soheili Optimization Letters 8, 2145-2152, 2014 | 6 | 2014 |
A Parameter-free and Projection-free Restarting Level Set Method for Adaptive Constrained Convex Optimization Under the Error Bound Condition Q Lin, R Ma, S Nadarajah, N Soheili arXiv preprint arXiv:2010.15267, 2020 | 4 | 2020 |
A condition-based algorithm for solving polyhedral feasibility problems JP Negar Soheili Journal o Complexity 30, 673--682, 2014 | 4 | 2014 |
First-order methods for convex constrained optimization under error bound conditions with unknown growth parameters Q Lin, R Ma, S Nadarajah, N Soheili arXiv preprint arXiv:2010.15267, 2020 | 2 | 2020 |
Projection and rescaling algorithm for finding maximum support solutions to polyhedral conic systems J Peña, N Soheili Mathematics of Operations Research 47 (4), 3304-3316, 2022 | 1 | 2022 |
Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes P Pakiman, S Nadarajah, N Soheili, Q Lin Management Science, 2020 | 1 | 2020 |
Implementation of a projection and rescaling algorithm for second-order conic feasibility problems J Peña, N Soheili Optimization Methods and Software 38 (1), 218-241, 2023 | | 2023 |