Negar Soheili

According to our database, Negar Soheili authored at least 16 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Weakly Time-Coupled Approximation of Markov Decision Processes.

Negar Soheili, Selvaprabu Nadarajah, Bo Yang

CoRR, March, 2026

2025

Self-Guided Approximate Linear Programs: Randomized Multi-Shot Approximation of Discounted Cost Markov Decision Processes.

Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin

Manag. Sci., 2025

An Adaptive Parameter-free and Projection-free Restarting Level Set Method for Constrained Convex Optimization Under the Error Bound Condition.

Qihang Lin, Negar Soheili, Runchao Ma, Selvaprabu Nadarajah

J. Mach. Learn. Res., 2025

2023

Implementation of a projection and rescaling algorithm for second-order conic feasibility problems.

Javier Peña, Negar Soheili

Optim. Methods Softw., January, 2023

2022

Projection and Rescaling Algorithm for Finding Maximum Support Solutions to Polyhedral Conic Systems.

Javier Peña, Negar Soheili

Math. Oper. Res., November, 2022

2021

Computational performance of a projection and rescaling algorithm.

Javier Peña, Negar Soheili

Optim. Methods Softw., 2021

2020

Revisiting Approximate Linear Programming: Constraint-Violation Learning with Applications to Inventory Control and Energy Storage.

Qihang Lin, Selvaprabu Nadarajah, Negar Soheili

Manag. Sci., 2020

A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints.

Qihang Lin, Selvaprabu Nadarajah, Negar Soheili, Tianbao Yang

J. Mach. Learn. Res., 2020

Self-guided Approximate Linear Programs.

Parshan Pakiman, Selvaprabu Nadarajah, Negar Soheili, Qihang Lin

CoRR, 2020

2018

A Level-Set Method for Convex Optimization with a Feasible Solution Path.

Qihang Lin, Selvaprabu Nadarajah, Negar Soheili

SIAM J. Optim., 2018

2017

Solving Conic Systems via Projection and Rescaling.

Javier Peña, Negar Soheili

Math. Program., 2017

2016

On the von Neumann and Frank-Wolfe Algorithms with Away Steps.

Javier Peña, Daniel Rodríguez, Negar Soheili

SIAM J. Optim., 2016

A deterministic rescaled perceptron algorithm.

Javier Peña, Negar Soheili

Math. Program., 2016

2014

Some preconditioners for systems of linear inequalities.

Javier Peña, Vera Roshchina, Negar Soheili

Optim. Lett., 2014

A condition-based algorithm for solving polyhedral feasibility problems.

Negar Soheili, Javier Peña

J. Complex., 2014

2012

A Smooth Perceptron Algorithm.

Negar Soheili, Javier Peña

SIAM J. Optim., 2012