| 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 | 36 | 2018 |
| A deterministic rescaled perceptron algorithm NS J Pena Math. Programming, 2015 | 34 | 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 | 28 | 2016 |
| 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 | 25 | 2020 |
| Solving conic systems via projection and rescaling J Pena, N Soheili Mathematical Programming 166, 87-111, 2017 | 24 | 2017 |
| 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 | 13 | 2020 |
| 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 | 8 | 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 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 |
| 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, 2024 | 1 | 2024 |
| 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 |
| Level Set Methods for Solving Constrained Convex Optimization Problems N Soheili Encyclopedia of Optimization, 1-7, 2023 | | 2023 |
| 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 |
Javier PeñaCarnegie Mellon UniversityVerified email at andrew.cmu.edu
