| ASTRO-DF: A class of adaptive sampling trust-region algorithms for derivative-free stochastic optimization S Shashaani, FS Hashemi, R Pasupathy SIAM Journal on Optimization 28 (4), 3145-3176, 2018 | 100 | 2018 |
| On sampling rates in simulation-based recursions R Pasupathy, P Glynn, S Ghosh, FS Hashemi SIAM Journal on Optimization 28 (1), 45-73, 2018 | 53 | 2018 |
| On adaptive sampling rules for stochastic recursions FS Hashemi, S Ghosh, R Pasupathy Proceedings of the Winter Simulation Conference 2014, 3959-3970, 2014 | 41 | 2014 |
| How much to sample in simulation-based stochastic recursions? R Pasupathy, P Glynn, S Ghosh, F Hashemi Under review at SIAM Journal of Optimization, 2014 | 9 | 2014 |
| Averaging and derivative estimation within stochastic approximation algorithms FS Hashemi, R Pasupathy Proceedings of the 2012 Winter Simulation Conference (WSC), 1-9, 2012 | 2 | 2012 |
| Sampling Controlled Stochastic Recursions: Applications to Simulation Optimization and Stochastic Root Finding FS Hashemi Virginia Tech, 2015 | 1 | 2015 |
| A sequential statistics approach to dynamic staffing under demand uncertainty FS Hashemi, MR Taaffe 2017 Winter Simulation Conference (WSC), 956-965, 2017 | | 2017 |
| On the Necessity of the R Pasupathy, F Hashemi History, 2013 | | 2013 |
| The Adaptive Sampling Gradient Method FS Hashemi, R Pasupathy, MR Taaffe | | |
| AVERAGING AND DERIVATIVE ESTIMATION WITHIN STOCHASTIC APPROXIMATION ALGORITHMS C Laroque, J Himmelspach, R Pasupathy, O Rose, AM Uhrmacher | | |
