| 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 | 52 | 2018 |
| A Smooth Perceptron Algorithm JP Negar Soheili SIAM Journal on Optimization 22, 728--737, 2012 | 38 | 2012 |
| 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 | 33 | 2020 |
| A Deterministic Rescaled Perceptron Algorithm NS J Pena Math. Programming, 2015 | 31 | 2015 |
| 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 | 29 | 2016 |
| Solving Conic Systems via Projection and Rescaling J Pena, N Soheili Mathematical Programming 166 (1), 87-111, 2017 | 25 | 2017 |
| 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 | 17 | 2020 |
| A Primal-Dual Smooth Perceptron-von Neumann Algorithm JP Negar Soheili Discrete Geometry and Optimization. Springer, Fields Institute …, 2013 | 16* | 2013 |
| A Parameter-free and Projection-free Restarting Level Set mMethod for Adaptive Constrained Convex Optimization Under the Error Bound Condition Q Lin, R Ma, S Nadarajah, N Soheili arXiv preprint arXiv:2010.15267, 2020 | 14 | 2020 |
| Self-Guided Approximate Linear Programs P Pakiman, S Nadarajah, N Soheili, Q Lin arXiv preprint arXiv:2001.02798, 2020 | 9 | 2020 |
| Computational Performance of a Projection and Rescaling Algorithm J Pena, N Soheili Optimization Methods and Software 36 (5), 934-951, 2021 | 8 | 2021 |
| 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 71 (4), 3384-3404, 2025 | 6 | 2025 |
| Some Preconditioners for Systems of Linear Inequalities J Pena, V Roshchina, N Soheili Optimization Letters 8 (7), 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 | 3 | 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 |
| An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition Q Lin, N Soheili, R Ma, S Nadarajah Journal of Machine Learning Research 26 (200), 1-45, 2025 | | 2025 |
| 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
